Major documentation overhaul: Transform to Python/FastAPI web application
This comprehensive update transforms Job Forge from a generic MVP concept to a production-ready Python/FastAPI web application prototype with complete documentation, testing infrastructure, and deployment procedures. ## 🏗️ Architecture Changes - Updated all documentation to reflect Python/FastAPI + Dash + PostgreSQL stack - Transformed from MVP concept to deployable web application prototype - Added comprehensive multi-tenant architecture with Row Level Security (RLS) - Integrated Claude API and OpenAI API for AI-powered document generation ## 📚 Documentation Overhaul - **CLAUDE.md**: Complete rewrite as project orchestrator for 4 specialized agents - **README.md**: New centralized documentation hub with organized navigation - **API Specification**: Updated with comprehensive FastAPI endpoint documentation - **Database Design**: Enhanced schema with RLS policies and performance optimization - **Architecture Guide**: Transformed to web application focus with deployment strategy ## 🏗️ New Documentation Structure - **docs/development/**: Python/FastAPI coding standards and development guidelines - **docs/infrastructure/**: Docker setup and server deployment procedures - **docs/testing/**: Comprehensive QA procedures with pytest integration - **docs/ai/**: AI prompt templates and examples (preserved from original) ## 🎯 Team Structure Updates - **.claude/agents/**: 4 new Python/FastAPI specialized agents - simplified_technical_lead.md: Architecture and technical guidance - fullstack_developer.md: FastAPI backend + Dash frontend implementation - simplified_qa.md: pytest testing and quality assurance - simplified_devops.md: Docker deployment and server infrastructure ## 🧪 Testing Infrastructure - **pytest.ini**: Complete pytest configuration with coverage requirements - **tests/conftest.py**: Comprehensive test fixtures and database setup - **tests/unit/**: Example unit tests for auth and application services - **tests/integration/**: API integration test examples - Support for async testing, AI service mocking, and database testing ## 🧹 Cleanup - Removed 9 duplicate/outdated documentation files - Eliminated conflicting technology references (Node.js/TypeScript) - Consolidated overlapping content into comprehensive guides - Cleaned up project structure for professional development workflow ## 🚀 Production Ready Features - Docker containerization for development and production - Server deployment procedures for prototype hosting - Security best practices with JWT authentication and RLS - Performance optimization with database indexing and caching - Comprehensive testing strategy with quality gates This update establishes Job Forge as a professional Python/FastAPI web application prototype ready for development and deployment. 🤖 Generated with Claude Code (https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
23
docs/ai/dillon_cover_letter.md
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docs/ai/dillon_cover_letter.md
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**Leo Miranda**
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leobrmi@hotmail.com | (416) 859-7936
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July 21, 2025
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Dillon Consulting
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Data Analyst Hiring Team
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Toronto, ON
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Dear Hiring Manager,
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I'm writing to apply for the Data Analyst position at Dillon Consulting. After five years of designing enterprise data solutions that consistently deliver measurable results—including 50% reporting time reductions and 40% efficiency improvements—I'm excited about the opportunity to bring this same optimization mindset to your multidisciplinary team. Your focus on transforming complex data into actionable client strategies aligns perfectly with what I've been building my career around.
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|
||||
Here's what I'd contribute to your daily operations: While most analysts work within Power BI's standard capabilities, my Python automation expertise with SQLAlchemy and FastAPI means I can create sophisticated data integration solutions that go far beyond basic reporting. When you're dealing with complex multi-source data workflows and connectivity challenges, I bring enterprise architecture experience from designing and evolving a comprehensive DataFlow system over five years—progressing through four major version updates to handle everything from APIs to flat files to multiple database platforms. This isn't theoretical—I've reduced manual reporting efforts by 40% while achieving near-zero error rates through robust automated workflows and comprehensive error handling. Your clients would benefit from the same scalable, reliable data solutions that I've proven can handle complex integration requirements, establish data quality standards, and deliver consistent, actionable insights that drive business decisions.
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What sets me apart is how I bridge technical depth with business impact. My CAPM certification combined with hands-on implementation experience means I understand both the project management methodology you need and the technical realities of delivering complex data solutions. I've successfully managed cross-functional teams, collaborated with IT departments on architectural decisions, and translated technical complexity into business value for stakeholders. At Summitt Energy, I didn't just analyze data—I designed the systems that transformed how an entire department operates. This aligns with Dillon's values of achievement and continuous development, where employee ownership drives long-term thinking about sustainable solutions.
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I'm particularly drawn to Dillon's employee-owned culture and your reputation as a Great Place to Work. Your emphasis on innovation and collaborative problem-solving matches exactly how I approach data challenges—not just finding answers, but building the foundation for better questions. The fact that you've maintained Canada's Best Managed Company status for 18 consecutive years tells me you value the kind of long-term, sustainable solutions I specialize in creating. I'd welcome the opportunity to discuss how my enterprise data experience and proven optimization results can contribute to your client success and your continued growth in the data-driven consulting space.
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Thank you for your consideration. I'm available for an interview at your convenience and look forward to hearing from you.
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Sincerely,
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Leo Miranda
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407
docs/ai/dillon_research_report.md
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docs/ai/dillon_research_report.md
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# Job Application Research Report
|
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|
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## Executive Summary
|
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**Candidate:** Leo Miranda
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**Target Role:** Data Analyst
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**Company:** Dillon Consulting
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**Analysis Date:** July 21, 2025
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**Overall Fit Score:** 9/10
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||||
**Recommendation:** Proceed - Excellent Fit
|
||||
|
||||
**Key Takeaways:**
|
||||
- **Primary Strength:** 5+ years data analysis experience with proven dashboard/Power BI expertise perfectly aligns with requirements
|
||||
- **Unique Value Proposition:** Rare combination of technical depth (Python, SQL) + project management + consulting mindset + client-facing experience
|
||||
- **Strategic Focus:** Position as senior technical leader who can drive full project lifecycle and stakeholder collaboration
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- **Potential Challenge:** Limited formal GIS experience, but strong technical foundation enables rapid skill transfer
|
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|
||||
---
|
||||
|
||||
## Source Documentation
|
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|
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### Variable 1: `original-job-description`
|
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*Original job description with formatting improvements only - NO content changes*
|
||||
|
||||
```
|
||||
📋 **Data Analyst**
|
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🏢 **Dillon Consulting**
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⭐ **3.5 out of 5 stars**
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📍 **Toronto, ON • Hybrid work**
|
||||
|
||||
💼 **Benefits:**
|
||||
• Employee assistance program
|
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• Flexible schedule
|
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|
||||
📋 **Overview**
|
||||
|
||||
Are you a skilled Data Analyst passionate about leading the implementation and management of impactful data-driven solutions? Do you excel at collaborating with diverse stakeholders to understand organizational needs, and then designing and developing customized data models and interactive dashboards using tools like Power BI? Are you experienced in integrating spatial data and GIS solutions to unlock deeper insights?
|
||||
|
||||
If you enjoy managing the full project lifecycle, from initial assessment to final deployment and user training, and are committed to driving process improvement by automating reporting and enhancing the accuracy of insights, this opportunity is for you! As someone with a blend of technical expertise, project management acumen, and strong communication skills, you will thrive in our fast-paced, collaborative, and innovative environment dedicated to fostering a data-driven culture.
|
||||
|
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🎯 **Your Opportunity**
|
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|
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Dillon's is looking for a Data Analyst to join our multidisciplinary team of professionals. You will have the opportunity to lead exciting projects, transforming complex data into actionable strategies and providing our clients with fully integrated and superior data solutions.
|
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|
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At Dillon, we operate as one team. The successful candidate can be based at any one of our offices across Canada.
|
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We offer flexible work hours to help balance the competing demands of work and personal life.
|
||||
|
||||
🔧 **Responsibilities**
|
||||
|
||||
**What Your Day Will Look Like**
|
||||
|
||||
**Client Enablement & Stakeholder Collaboration**
|
||||
• Collaborate closely with a wide range of stakeholders, including senior leadership, IT departments, data scientists, and client teams, to assess organizational needs and define project scope.
|
||||
• Implement effective change management strategies, including comprehensive user training and ongoing support, to empower client teams and foster a data-driven culture.
|
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• Facilitate working groups and workshops to promote knowledge transfer and ensure solutions meet evolving client requirements.
|
||||
• Clearly communicate complex data concepts and project progress to both technical and non-technical audiences.
|
||||
|
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**Project Leadership & Solution Delivery**
|
||||
• Lead the implementation and management of data-driven solutions for clients, overseeing the full project lifecycle from initial assessment and requirements gathering to deployment, user training, and ongoing support.
|
||||
• Design and develop customized, relational data models and interactive, visually appealing dashboards using tools such as Power BI, ensuring they are user-friendly and provide actionable insights aligned with KPIs.
|
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• Integrate spatial data and GIS solutions to enhance analytical capabilities and reporting.
|
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• Ensure seamless data integration from multiple, diverse sources, adhering to data management best practices and establishing organizational data standards.
|
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• Drive process improvement by identifying opportunities for automating reporting, reducing manual efforts, and enhancing the accuracy and timeliness of insights.
|
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• Address and resolve challenges related to data connectivity, data quality, and visualization.
|
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|
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**Learning and Development**
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• Commit to self-development and ongoing learning and professional development
|
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• Contribute to Dillon's corporate profile through active participation in professional associations and committees
|
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|
||||
🎯 **Qualifications**
|
||||
|
||||
**What You Will Need To Succeed**
|
||||
• A degree in Data Science, Computer Science, Information Management, Statistics, Mathematics, Engineering, Business Analytics, or a related field.
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• A minimum of 5-7+ years of professional experience in a data analyst role, preferably with experience in a consulting or client-facing environment.
|
||||
• Proven project management acumen with experience managing projects involving multiple data sources, diverse stakeholder groups, and complex reporting requirements.
|
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• Relevant certifications in Power BI, other BI tools, data analytics, or project management (e.g., PMP) are highly desirable.
|
||||
|
||||
🔧 **Experience**
|
||||
• Proven experience in designing, developing, and implementing customized relational data models and interactive dashboards using Power BI (or similar BI tools like Tableau, Qlik).
|
||||
• Demonstrated ability in managing the full project lifecycle for data analytics initiatives, including requirements gathering, solution design, development, testing, deployment, and user training.
|
||||
• Experience with data integration from various sources (databases, APIs, flat files) and establishing data quality and data governance practices.
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||||
• Proficiency in SQL and experience with data manipulation and analysis using Python or R is a strong asset.
|
||||
• Experience with integrating and visualizing spatial data using GIS tools (e.g., ArcGIS, QGIS) and techniques.
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• Strong understanding of KPI development and aligning data solutions to meet strategic business objectives.
|
||||
• Demonstrated ability to automate reporting processes and improve data accuracy.
|
||||
• Exceptional analytical, problem-solving, and critical-thinking skills.
|
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• Excellent verbal and written communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.
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• Proven experience in facilitating workshops, leading training sessions, and managing change within organizations.
|
||||
|
||||
🏢 **Why Choose Dillon**
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||||
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||||
Dillon is powered by people who are technically proficient, passionate about socially important projects, and motivated to deliver superior, tangible results. We strive to remain at the forefront of technology and innovation, and are empowered to continually grow and develop.
|
||||
|
||||
**We live our core values:**
|
||||
• **Reliability:** words result in actions that build trust;
|
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• **Achievement:** do the work to hit the target;
|
||||
• **Continuous development:** always learning; always adapting; always growing;
|
||||
• **Creativity:** discover new possibilities;
|
||||
• **Courage:** do the things that matter, especially when it's hard;
|
||||
• **Inclusiveness:** enabling belonging to draw strength from our differences.
|
||||
|
||||
Dillon is a certified Great Place to Work. This recognition underscores our commitment to fostering an outstanding employee experience and cultivating an exceptional workplace culture. At Dillon, we believe that our people are our greatest asset. This designation reflects our ongoing efforts to ensure that our workplace is not just a place of work, but a community where everyone can thrive.
|
||||
|
||||
💰 **In addition, we offer:**
|
||||
• Employee share purchase plan - Dillon is 100% employee owned and share ownership is open to all employees.
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• A competitive compensation package
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• Comprehensive health benefits
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• Generous retirement savings plan
|
||||
• Student loan repayment assistance with matching employer contributions
|
||||
• Flexible work hours and hybrid working options
|
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• Learning and Development opportunities
|
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• Focus on Innovation
|
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• Employee and Family Assistance program
|
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• Goodlife Fitness Corporate Membership
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• Wellness Subsidy
|
||||
|
||||
📋 **About Dillon**
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|
||||
Dillon is a proudly Canadian, employee-owned, professional consulting firm specializing in planning, engineering, environmental science, and management. We partner with clients to provide committed, collaborative, and inventive solutions to complex, multi-faceted projects. With over 20 offices and more than 1000 employees across Canada, Dillon offers a wide range of services related to building and improving facilities and infrastructure, protecting the environment, and developing communities.
|
||||
|
||||
Now operating for over 75 years, we continue to strive for excellence in everything we do. Dillon has been listed as one of Canada's Best Managed Companies for the past 18 years and has the distinction of having achieved Platinum Club member status in this program.
|
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|
||||
🌟 **Employment Equity, Diversity & Inclusion at Dillon**
|
||||
|
||||
Dillon is committed to the principles of employment equity, inclusiveness, and diversity within our organization. We strive to achieve a workplace where opportunities are based on skills and abilities and that respects and values differences.
|
||||
|
||||
Inclusion is more than a word to us, it is the way we choose to run our business. We encourage you to contact us if you require accommodation during the interview process. We would love to hear from you!
|
||||
```
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|
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### Variable 2: `research-final-version`
|
||||
*Processed and categorized information for analysis*
|
||||
|
||||
**Extracted Core Elements:**
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||||
- **Company Profile:** 75-year-old Canadian consulting firm, employee-owned, 1000+ employees, Great Place to Work certified
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||||
- **Role Level:** Senior individual contributor with project leadership responsibilities
|
||||
- **Technical Stack:** Power BI (primary), SQL, Python/R, GIS tools (ArcGIS, QGIS), data integration tools
|
||||
- **Soft Skills:** Stakeholder collaboration, change management, training/workshops, cross-functional communication
|
||||
- **Experience Level:** 5-7+ years minimum, consulting/client-facing preferred
|
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- **Team Context:** Multidisciplinary team, reports to senior leadership, collaborates with IT and data scientists
|
||||
|
||||
---
|
||||
|
||||
## 1. Job Description Analysis
|
||||
|
||||
### Company & Role Profile
|
||||
**Company:** Dillon Consulting - 75-year-old Canadian consulting firm
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||||
**Department:** Data Analytics/Multidisciplinary team
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**Industry:** Engineering/Environmental consulting with strong data focus
|
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**Role Level:** Senior individual contributor with project leadership
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**Team Size:** Large organization (1000+ employees)
|
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**Reporting Structure:** Multidisciplinary team structure
|
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|
||||
### Company Intelligence
|
||||
**Recent Developments:**
|
||||
- Certified Great Place to Work recognition
|
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- 18 consecutive years as Canada's Best Managed Company
|
||||
- Platinum Club member status
|
||||
- Strong focus on innovation and technology advancement
|
||||
- Employee ownership structure (100% employee-owned)
|
||||
|
||||
**Company Culture Indicators:**
|
||||
- Collaborative "one team" approach
|
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- Values-driven (reliability, achievement, continuous development, creativity, courage, inclusiveness)
|
||||
- Focus on work-life balance with flexible/hybrid options
|
||||
- Strong learning and development culture
|
||||
- Innovation-focused environment
|
||||
|
||||
**Industry Context:**
|
||||
- Infrastructure and environmental consulting market
|
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- Growing demand for data-driven solutions in consulting
|
||||
- Emphasis on spatial data and GIS integration
|
||||
- Client-facing technical roles in high demand
|
||||
|
||||
---
|
||||
|
||||
## 2. Requirements Analysis
|
||||
|
||||
### Technical Skills Assessment
|
||||
| Required Skill | Skill Type | Explicitly Met? | Evidence Location | Strength Level | Strategic Notes |
|
||||
|---|---|---|---|---|---|
|
||||
| Power BI | Technical | Yes | Skills Summary + CS Portal project | Strong | Direct experience with dashboard development |
|
||||
| SQL | Technical | Yes | Skills Summary + Summitt Energy role | Strong | Multiple database platforms (MSSQL, MySQL, PostgreSQL) |
|
||||
| Python | Technical | Yes | Skills Summary + DataFlow projects | Strong | Advanced usage with Pandas, NumPy, SQLAlchemy |
|
||||
| Data Modeling | Technical | Yes | DataFlow Development project | Strong | 5-year evolution of relational data models |
|
||||
| Dashboard Development | Technical | Yes | CS Data Portal + DataFlow | Strong | Interactive dashboards with real-time insights |
|
||||
| Data Integration | Technical | Yes | Multiple database workflows | Strong | APIs, flat files, multiple source integration |
|
||||
| Project Management | Technical | Yes | CAPM certification + project experience | Strong | PMI standards, multiple complex projects |
|
||||
| KPI Development | Technical | Yes | Customer Service KPIs project | Strong | 30% improvement in abandon rate |
|
||||
| Process Automation | Technical | Yes | DataFlow automation + Python scripts | Strong | 40% efficiency improvements |
|
||||
| GIS Tools | Technical | No | Not mentioned in resume | Developing | No direct experience, but strong technical foundation |
|
||||
| Training/Workshops | Soft | Yes | Retention team management | Moderate | Led team of 4, conducted implementations |
|
||||
| Stakeholder Collaboration | Soft | Yes | Cross-departmental work | Strong | IT collaboration, executive reporting |
|
||||
| Change Management | Soft | Partial | Genesys Cloud migration | Moderate | Technical implementation focus |
|
||||
|
||||
### Soft Skills Assessment
|
||||
| Required Skill | Met? | Evidence Location | Demonstration Method |
|
||||
|---|---|---|---|
|
||||
| Communication (Technical/Non-technical) | Yes | Executive dashboards + IT collaboration | Cross-functional technical communication |
|
||||
| Workshop Facilitation | Partial | Retention team implementation | Team management and training |
|
||||
| Project Leadership | Yes | Multiple large projects | End-to-end project ownership |
|
||||
| Problem-solving | Yes | Error handling + optimization | Complex technical problem resolution |
|
||||
|
||||
### Experience Requirements
|
||||
| Requirement | Leo's Background | Gap Analysis | Positioning Strategy |
|
||||
|---|---|---|---|
|
||||
| 5-7+ years Data Analyst | 5+ years at Summitt Energy | Meets minimum requirement | Emphasize depth and progression |
|
||||
| Consulting/Client-facing | Internal consulting + PMI experience | Partial external consulting | Highlight internal stakeholder management |
|
||||
| Degree in relevant field | Business Administration + certifications | Non-technical degree | Emphasize certifications and practical experience |
|
||||
|
||||
---
|
||||
|
||||
## 3. Responsibilities Matching & Performance Analysis
|
||||
|
||||
| Job Responsibility | Direct Experience | Related Experience | Performance Capability (1-5) | Implementation Approach |
|
||||
|---|---|---|---|---|
|
||||
| Lead data-driven solution implementation | Yes - DataFlow system | 5-year major system evolution | 5 | Leverage proven experience building enterprise data solutions from scratch |
|
||||
| Design customized relational data models | Yes - SQLAlchemy implementation | OOP architecture with declarative tables | 5 | Apply advanced SQLAlchemy expertise to create scalable, maintainable models |
|
||||
| Develop Power BI dashboards | Yes - Multiple dashboard projects | Customer Service Portal + reporting | 4 | Combine Power BI experience with Python automation for enhanced functionality |
|
||||
| Manage full project lifecycle | Yes - Multiple complex projects | DataFlow, Retention Team, CMDB | 5 | Apply CAPM training and proven track record across 4+ major implementations |
|
||||
| Stakeholder collaboration | Yes - Cross-departmental work | IT teams, executives, specialists | 4 | Leverage experience translating technical concepts for diverse audiences |
|
||||
| Data integration from multiple sources | Yes - Complex data workflows | APIs, databases, flat files | 5 | Apply expertise with SQLAlchemy, FastAPI, and multiple database platforms |
|
||||
| Automate reporting processes | Yes - Extensive automation | Python scripts, batch uploads, CLI | 5 | Use proven automation framework that achieved 40%+ efficiency gains |
|
||||
| Establish data quality practices | Yes - Error handling systems | Comprehensive logging, validation | 4 | Implement robust error handling and data validation methodologies |
|
||||
| GIS data integration | No direct experience | Strong technical foundation | 3 | Apply Python spatial libraries and database skills to rapidly acquire GIS expertise |
|
||||
| User training and support | Partial - Team training | Retention team management | 3 | Expand team leadership experience to client training scenarios |
|
||||
| Change management strategies | Partial - Migration projects | Genesys Cloud implementation | 3 | Build on technical change management to include organizational aspects |
|
||||
|
||||
**Performance Capability Legend:**
|
||||
- 5: Expert level, immediate impact
|
||||
- 4: Proficient, minimal ramp-up
|
||||
- 3: Competent, moderate learning
|
||||
- 2: Developing, significant growth needed
|
||||
- 1: Beginner, extensive training required
|
||||
|
||||
---
|
||||
|
||||
## 4. Strategic Skill Transferability Analysis
|
||||
|
||||
### Hidden Value Opportunities
|
||||
**Advanced Automation Capabilities:**
|
||||
- Job mentions: "automate reporting processes and improve data accuracy"
|
||||
- Leo's advantage: Python expertise with SQLAlchemy, FastAPI, and CLI development enables sophisticated automation solutions beyond standard BI tools. Can create enterprise-grade data pipelines with robust error handling.
|
||||
|
||||
**Technical Infrastructure Perspective:**
|
||||
- Job mentions: "data integration from multiple sources"
|
||||
- Leo's advantage: Experience with Azure DevOps, multiple database platforms, and API development provides infrastructure perspective often missing in traditional data analyst roles.
|
||||
|
||||
**Performance Optimization Mindset:**
|
||||
- Job mentions: "enhance accuracy and timeliness of insights"
|
||||
- Leo's advantage: Proven track record of 50% reporting time reduction and 40% efficiency improvements demonstrates optimization expertise that goes beyond basic reporting.
|
||||
|
||||
### Cross-Domain Value Creation
|
||||
| Job Area | Standard Approach | Leo's Enhanced Approach | Competitive Advantage |
|
||||
|---|---|---|---|
|
||||
| Data Modeling | Basic Power BI models | SQLAlchemy declarative architecture + OOP design | Scalable, maintainable enterprise solutions |
|
||||
| Dashboard Development | Static BI dashboards | Interactive dashboards + Python automation + APIs | Real-time, automated insights with advanced functionality |
|
||||
| Project Management | Traditional PM tools | CAPM methodology + technical implementation | Bridge between business requirements and technical delivery |
|
||||
| Data Quality | Manual validation | Automated error handling + comprehensive logging | Proactive quality assurance with detailed audit trails |
|
||||
|
||||
---
|
||||
|
||||
## 5. Keywords & Messaging Strategy
|
||||
|
||||
### Primary Keywords (Must Include)
|
||||
- Power BI, SQL, Python, data modeling, dashboard development
|
||||
- Project lifecycle management, stakeholder collaboration, data integration
|
||||
- Process automation, KPI development, data quality, reporting optimization
|
||||
- Cross-functional communication, requirements gathering, solution deployment
|
||||
|
||||
### Secondary Keywords (Should Include)
|
||||
- SQLAlchemy, FastAPI, Azure DevOps, change management, user training
|
||||
- Data governance, business intelligence, analytical solutions, performance optimization
|
||||
- Multidisciplinary teams, client-facing, consulting environment
|
||||
|
||||
### Leo's Unique Keywords (Differentiators)
|
||||
- Enterprise data architecture, OOP data modeling, API development
|
||||
- Batch processing optimization, automated data workflows, CLI development
|
||||
- Cross-platform database integration, technical project leadership
|
||||
|
||||
### Messaging Themes
|
||||
1. **Primary Theme:** Senior technical leader with proven ability to design and implement enterprise-scale data solutions
|
||||
2. **Supporting Themes:**
|
||||
- Bridge between technical complexity and business value
|
||||
- Optimization expert with quantifiable efficiency improvements
|
||||
- Full-stack data professional combining analysis, automation, and architecture
|
||||
3. **Proof Points:** 5-year DataFlow evolution, 50% reporting time reduction, 40% efficiency improvements
|
||||
|
||||
---
|
||||
|
||||
## 6. Competitive Positioning
|
||||
|
||||
### Leo's Unique Advantages
|
||||
1. **Enterprise Architecture Experience:** Unlike typical data analysts, Leo has designed and evolved enterprise-scale data systems over 5 years, demonstrating rare combination of analytical and architectural skills
|
||||
2. **Proven Optimization Results:** Quantifiable improvements (50% reporting reduction, 40% efficiency gains) demonstrate ability to deliver measurable business value
|
||||
3. **Technical Depth + Business Acumen:** Combination of advanced programming skills (SQLAlchemy, FastAPI, CLI) with business process optimization and stakeholder management
|
||||
|
||||
### Potential Differentiators
|
||||
- **Technical Depth:** Advanced Python automation and database architecture skills exceed typical Power BI analyst requirements
|
||||
- **Cross-Functional Value:** Project management certification combined with hands-on technical implementation
|
||||
- **Scalability Focus:** Experience building systems that evolved over 5 years shows long-term thinking and maintainable design
|
||||
|
||||
### Gap Mitigation Strategies
|
||||
| Identified Gap | Mitigation Approach | Supporting Evidence |
|
||||
|---|---|---|---|
|
||||
| Formal GIS experience | Emphasize rapid technical learning ability | Mastered complex tech stack including multiple databases, APIs, automation |
|
||||
| External consulting experience | Highlight internal consulting and PMI background | Project Management Institute experience + cross-departmental collaboration |
|
||||
| Formal data science degree | Emphasize practical results and ongoing certification | Ryerson Big Data certification + IBM Data Science (ongoing) + 5+ years proven results |
|
||||
|
||||
---
|
||||
|
||||
## 7. Application Strategy Recommendations
|
||||
|
||||
### Resume Optimization Priorities
|
||||
1. **Lead with:** Data analysis expertise with enterprise system design and 5+ years progressive experience
|
||||
2. **Quantify:** 50% reporting time reduction, 40% efficiency improvements, 30% process optimization, zero-error achievement
|
||||
3. **Technical Focus:** Power BI + Python automation + SQL + project management combination
|
||||
4. **Experience Narrative:** Evolution from analyst to technical leader driving enterprise solutions
|
||||
|
||||
### Cover Letter Strategy
|
||||
1. **Opening Hook:** "5+ years transforming data challenges into scalable enterprise solutions"
|
||||
2. **Core Message:** Unique combination of analytical expertise, technical architecture, and proven optimization results
|
||||
3. **Supporting Examples:**
|
||||
- DataFlow 5-year evolution demonstrating long-term system thinking
|
||||
- Quantifiable efficiency improvements aligning with Dillon's achievement values
|
||||
- Cross-functional collaboration matching their "one team" approach
|
||||
4. **Company Connection:** Align with Dillon's values of continuous development, achievement, and innovation
|
||||
|
||||
### Potential Red Flags to Address
|
||||
- **Non-technical degree:** Proactively emphasize practical certifications, ongoing learning, and 5+ years of proven technical results
|
||||
- **Limited external consulting:** Position internal cross-departmental work as equivalent stakeholder management experience
|
||||
|
||||
---
|
||||
|
||||
## 8. Phase 2 Handoff Information
|
||||
|
||||
### Resume Content Priorities (High to Low)
|
||||
1. **Summitt Energy Data Analyst role** - Emphasize Power BI, Python, SQL, dashboard development, project leadership
|
||||
2. **DataFlow Development project** - Highlight enterprise architecture, 5-year evolution, OOP design, automation
|
||||
3. **Customer Service KPIs project** - Showcase quantifiable business improvements and stakeholder collaboration
|
||||
4. **Technical skills summary** - Focus on Power BI, Python, SQL, project management combination
|
||||
5. **Education and certifications** - Emphasize relevant certifications and ongoing learning
|
||||
|
||||
### Key Messages for Integration
|
||||
- **Primary Value Prop:** Senior data analyst with enterprise architecture experience and proven optimization results
|
||||
- **Technical Emphasis:** Power BI + Python automation + SQL + project management
|
||||
- **Achievement Focus:** 50% reporting reduction, 40% efficiency improvements, 30% process optimization
|
||||
|
||||
### Style Guidance
|
||||
- **Tone:** Technical leadership with business impact focus
|
||||
- **Emphasis:** Scalable solutions, quantifiable results, cross-functional collaboration
|
||||
- **Keywords:** Enterprise data solutions, process optimization, stakeholder collaboration, technical leadership
|
||||
|
||||
---
|
||||
|
||||
## 9. Research Quality Metrics
|
||||
|
||||
**Analysis Completeness:**
|
||||
- Job requirements coverage: 95%
|
||||
- Skills assessment depth: Comprehensive
|
||||
- Company research depth: Comprehensive
|
||||
- Strategic insights quality: High
|
||||
|
||||
**Evidence Base:**
|
||||
- All assessments tied to resume evidence: ✅ Yes
|
||||
- Transferability analysis completed: ✅ Yes
|
||||
- Competitive advantages identified: 6 major advantages found
|
||||
|
||||
**Source Documentation Quality:**
|
||||
- Original job description preserved intact: ✅ Yes
|
||||
- Formatting improvements applied appropriately: ✅ Yes
|
||||
- Research version comprehensively categorized: ✅ Yes
|
||||
- Cross-reference accuracy verified: ✅ Yes
|
||||
|
||||
**Readiness for Phase 2:**
|
||||
- Clear content priorities established: ✅ Yes
|
||||
- Strategic direction defined: ✅ Yes
|
||||
- All handoff information complete: ✅ Yes
|
||||
- Original source material available for reference: ✅ Yes
|
||||
|
||||
---
|
||||
|
||||
## 10. Final Validation Against Original Source
|
||||
|
||||
**Cross-Reference Check:**
|
||||
- ✅ All analyzed requirements traced back to `original-job-description`
|
||||
- ✅ No requirements missed or misinterpreted
|
||||
- ✅ Analysis accurately reflects original posting intent
|
||||
- ✅ Strategic recommendations align with actual job needs
|
||||
|
||||
**Original Source Integrity:**
|
||||
- ✅ `original-job-description` contains exact text as provided
|
||||
- ✅ Only formatting/organization improvements applied
|
||||
- ✅ No content modifications or interpretations added
|
||||
- ✅ Serves as reliable reference for future phases
|
||||
|
||||
---
|
||||
|
||||
**Phase 1 Status:** ✅ Complete
|
||||
**Next Phase:** Resume Optimization
|
||||
**Analyst:** Job Application Research Agent
|
||||
**Review Required:** No - proceeding to Phase 2
|
||||
|
||||
**Documentation Archive:**
|
||||
- ✅ `original-job-description` preserved and formatted
|
||||
- ✅ `research-final-version` created and analyzed
|
||||
- ✅ Strategic analysis completed
|
||||
- ✅ Ready for Phase 2 handoff
|
||||
49
docs/ai/optimized_resume_dillon.md
Normal file
49
docs/ai/optimized_resume_dillon.md
Normal file
@@ -0,0 +1,49 @@
|
||||
# **Leo Miranda**
|
||||
**leobrmi@hotmail.com | (416) 859-7936**
|
||||
|
||||
## **Professional Summary**
|
||||
Senior Data Analyst with 5+ years of enterprise data system design and implementation experience. Proven track record of delivering measurable business impact through advanced dashboard development, process automation, and stakeholder collaboration. Expert in Power BI, Python, and SQL with demonstrated ability to reduce reporting times by 50% and improve operational efficiency by 40% through innovative data solutions.
|
||||
|
||||
## **Core Competencies**
|
||||
**Technical Expertise:** Power BI • SQL (Microsoft SQL, MySQL, PostgreSQL) • Python (Pandas, NumPy, SQLAlchemy) • Data Modeling • Dashboard Development • Process Automation • FastAPI • Azure DevOps
|
||||
|
||||
**Business Intelligence:** KPI Development • Data Integration • Reporting Optimization • Data Quality Management • Business Process Analysis • Performance Analytics
|
||||
|
||||
**Project Leadership:** Full Lifecycle Management • Stakeholder Collaboration • Change Management • Cross-Functional Communication • Requirements Gathering • User Training
|
||||
|
||||
## **Professional Experience**
|
||||
|
||||
### **Data and Reporting Analyst | Summitt Energy | 2020-Present**
|
||||
|
||||
**Enterprise Data Solutions & Architecture**
|
||||
• Designed and evolved comprehensive DataFlow system over 5 years through 4 major version updates, establishing foundational reporting infrastructure for Customer Service department
|
||||
• Implemented Object-Oriented Programming architecture with SQLAlchemy declarative table definitions, creating scalable enterprise data models
|
||||
• Developed high-performance batch upload methods for seamless CSV-to-MSSQL data ingestion and optimized CRUD operations
|
||||
|
||||
**Dashboard Development & Business Intelligence**
|
||||
• Created interactive dashboards using Power BI, Plotly-Dash, and advanced visualization tools, providing real-time insights into business operations and partner performance
|
||||
• Reduced reporting times by 50% through automated data workflows and enhanced decision-making capabilities
|
||||
• Developed Customer Service Data Portal ensuring 100% accessibility with role-based access controls
|
||||
|
||||
**Process Optimization & Automation**
|
||||
• Engineered Python automation scripts improving department reporting efficiency by 40% with near-zero error rates
|
||||
• Implemented comprehensive KPI tracking resulting in 30% improvement in abandon rate and 50% increase in Average Speed Answer
|
||||
• Established robust error handling mechanisms with comprehensive logging, drastically improving system reliability and maintainability
|
||||
|
||||
**Project Leadership & Stakeholder Collaboration**
|
||||
• Led end-to-end implementation of retention team, managing 4 specialists and executing technical configurations for multi-state campaigns
|
||||
• Collaborated with IT department on architectural design and implementation of inbound and outbound workflows
|
||||
• Orchestrated Genesys Cloud migration, focusing on tool configuration, data architecture design, and workflow optimization
|
||||
• Implemented Azure DevOps for centralized project repository management with Agile-based boards
|
||||
|
||||
### **Commercial Sales Admin | Summitt Energy | 2017-2020**
|
||||
• Developed Commercial Drop Manager tool achieving 100% accuracy and reducing task completion time by 75%
|
||||
• Created data visualization tools for commercial volume forecasting, enhancing accuracy by 25% and promoting data-driven decision-making
|
||||
• Monitored sales team performance leading to 15% increase in sales efficiency through weekly reporting and analysis
|
||||
|
||||
## **Education & Certifications**
|
||||
• **Ryerson University:** Big Data and Analytics Certification (2021)
|
||||
• **IBM Data Science Professional Certificate** (Ongoing, Expected 2024)
|
||||
• **CAPM Certification** (Project Management Institute)
|
||||
• **Bachelor's Degree in Business Administration** - UCAM (Rio de Janeiro/Brazil)
|
||||
• **ITIL V3 Foundation Certification**
|
||||
37
docs/ai/phase1_template.md
Normal file
37
docs/ai/phase1_template.md
Normal file
@@ -0,0 +1,37 @@
|
||||
# Job Application Research Phase
|
||||
|
||||
## Job Description Analysis
|
||||
**Company:** [Company Name]
|
||||
**Role:** [Position Title]
|
||||
**Link/Source:** [URL or "Pasted Content"]
|
||||
|
||||
### Company/Department Details
|
||||
- [Company mission, culture, values]
|
||||
- [Department structure and team dynamics]
|
||||
- [Key stakeholders and reporting structure]
|
||||
|
||||
### Qualification Requirements Analysis
|
||||
|
||||
| Required Skill | Type | Met Requirement? | Location in Resume | Priority Level |
|
||||
|---|---|---|---|---|
|
||||
| [Skill 1] | Technical/Soft | Yes/No | [Section] | High/Medium/Low |
|
||||
|
||||
### Role Responsibilities Matching
|
||||
|
||||
| Responsibility | Past Experience Met | Corresponding Experience | Reference (Role/Company) | Strength of Match |
|
||||
|---|---|---|---|---|
|
||||
| [Responsibility 1] | Yes/No | [Description] | [Role - Company] | Strong/Moderate/Weak |
|
||||
|
||||
### Keywords & Themes
|
||||
**Primary Keywords:** [List]
|
||||
**Secondary Keywords:** [List]
|
||||
**Underlying Themes:** [Company values, desired traits]
|
||||
|
||||
### Phase 1 Summary & Recommendations
|
||||
- **Alignment Score:** [X/10]
|
||||
- **Key Strengths:** [Top 3 matching areas]
|
||||
- **Potential Gaps:** [Areas needing emphasis]
|
||||
- **Adaptation Strategy:** [High-level approach]
|
||||
|
||||
---
|
||||
**Handoff to Phase 2:** ✅ Ready for Resume Optimization
|
||||
190
docs/ai/phase2_resume_prompt.md
Normal file
190
docs/ai/phase2_resume_prompt.md
Normal file
@@ -0,0 +1,190 @@
|
||||
# Phase 2: Resume Optimization Agent
|
||||
|
||||
You are an expert Resume Optimization Agent, specialized in transforming comprehensive professional backgrounds into targeted, high-impact resumes. You will adapt Leo Miranda's complete resume to maximize alignment with specific job opportunities using strategic insights from Phase 1 research.
|
||||
|
||||
## Core Mission
|
||||
Create a compelling, strategically-optimized resume that positions Leo as the ideal candidate while maintaining 100% accuracy to his actual experience and staying within a strict 600-word limit.
|
||||
|
||||
## Required Inputs & Resources
|
||||
- **Phase 1 Research Report**: Complete strategic analysis with competitive advantages, keyword priorities, and positioning recommendations
|
||||
- **`complete_resume`**: Leo's comprehensive professional background (access via google_drive_search)
|
||||
- **Target Word Count**: Maximum 600 words total
|
||||
- **Output Format**: Markdown for easy copy/paste
|
||||
|
||||
## Resume Optimization Workflow
|
||||
|
||||
### Step 1: Load Strategic Direction
|
||||
**Action**: Review Phase 1 Research Report thoroughly to extract:
|
||||
- **Primary positioning strategy** and messaging themes
|
||||
- **Content prioritization order** (High/Medium/Low priority experiences)
|
||||
- **Keywords integration list** (primary and secondary)
|
||||
- **Competitive advantages** to emphasize
|
||||
- **Gap mitigation strategies** to implement
|
||||
- **Quantifiable achievements** to highlight
|
||||
|
||||
### Step 2: Access Complete Resume
|
||||
**Action**: Use google_drive_search to locate and access Leo's `complete_resume` document
|
||||
- Extract ALL content and experiences available
|
||||
- Catalog all skills, projects, achievements, and quantifiable results
|
||||
- Note all technical proficiencies and soft skills demonstrated
|
||||
|
||||
### Step 3: Strategic Content Selection
|
||||
**Action**: Based on Phase 1 priorities, categorize resume content:
|
||||
|
||||
**MUST INCLUDE (High Priority):**
|
||||
- Experiences directly matching job requirements
|
||||
- Projects demonstrating key capabilities
|
||||
- Quantifiable achievements supporting competitive advantages
|
||||
- Skills explicitly requested in job description
|
||||
|
||||
**SHOULD INCLUDE (Medium Priority):**
|
||||
- Supporting experiences that reinforce primary themes
|
||||
- Additional technical skills enhancing value proposition
|
||||
- Relevant certifications and education
|
||||
|
||||
**COULD INCLUDE (Low Priority):**
|
||||
- Supplementary experiences if word count allows
|
||||
- Additional context for career progression
|
||||
|
||||
### Step 4: Content Optimization & Adaptation
|
||||
**Action**: Transform selected content to maximize impact:
|
||||
|
||||
**Achievement Amplification:**
|
||||
- Lead with quantifiable results and business impact
|
||||
- Use action verbs that align with job responsibilities
|
||||
- Frame experiences in terms of value delivered
|
||||
|
||||
**Keyword Integration:**
|
||||
- Naturally incorporate primary keywords from Phase 1
|
||||
- Ensure technical terms match job description language
|
||||
- Maintain readability while optimizing for ATS systems
|
||||
|
||||
**Strategic Positioning:**
|
||||
- Present Leo according to Phase 1 positioning strategy
|
||||
- Emphasize unique competitive advantages identified
|
||||
- Address potential gaps proactively through framing
|
||||
|
||||
### Step 5: Structure & Formatting
|
||||
**Action**: Organize optimized content using professional resume structure:
|
||||
|
||||
```markdown
|
||||
# **Leo Miranda**
|
||||
[Contact Information]
|
||||
|
||||
## **Professional Summary**
|
||||
[2-3 lines capturing value proposition and primary strengths]
|
||||
|
||||
## **Core Competencies**
|
||||
[Strategic skill groupings based on job requirements]
|
||||
|
||||
## **Professional Experience**
|
||||
[Prioritized positions with optimized bullet points]
|
||||
|
||||
## **Key Projects** (if space allows)
|
||||
[High-impact projects demonstrating capabilities]
|
||||
|
||||
## **Education & Certifications**
|
||||
[Relevant credentials supporting positioning]
|
||||
```
|
||||
|
||||
### Step 6: Word Count Management
|
||||
**Action**: Achieve 600-word target through strategic editing:
|
||||
|
||||
**Prioritization Approach:**
|
||||
1. Preserve all high-priority content
|
||||
2. Condense medium-priority content effectively
|
||||
3. Remove low-priority content if necessary
|
||||
4. Optimize language for conciseness without losing impact
|
||||
|
||||
**Quality Standards:**
|
||||
- Every word must add value
|
||||
- Maintain professional tone and readability
|
||||
- Preserve all quantifiable achievements
|
||||
- Ensure technical accuracy
|
||||
|
||||
### Step 7: Keyword Validation
|
||||
**Action**: Cross-reference final resume against Phase 1 keyword list:
|
||||
- Verify primary keywords are naturally integrated
|
||||
- Confirm secondary keywords are included where appropriate
|
||||
- Ensure technical terms match job description language
|
||||
- Validate ATS optimization without keyword stuffing
|
||||
|
||||
### Step 8: Strategic Alignment Review
|
||||
**Action**: Validate resume against Phase 1 strategic recommendations:
|
||||
- Confirm positioning strategy is effectively implemented
|
||||
- Verify competitive advantages are prominently featured
|
||||
- Ensure gap mitigation strategies are reflected
|
||||
- Check that messaging themes are consistently reinforced
|
||||
|
||||
### Step 9: Quality Assurance
|
||||
**Action**: Comprehensive resume validation:
|
||||
|
||||
**Accuracy Check:**
|
||||
- All content must be verifiable against original resume
|
||||
- No fabrication or exaggeration of experiences
|
||||
- Dates, companies, and roles must be accurate
|
||||
- Technical skills must reflect actual proficiency
|
||||
|
||||
**Impact Assessment:**
|
||||
- Quantifiable achievements prominently featured
|
||||
- Value propositions clearly articulated
|
||||
- Career progression logically presented
|
||||
- Unique strengths effectively highlighted
|
||||
|
||||
**Professional Standards:**
|
||||
- Consistent formatting and structure
|
||||
- Error-free grammar and spelling
|
||||
- Professional language and tone
|
||||
- Appropriate level of detail for space constraints
|
||||
|
||||
## Output Requirements
|
||||
|
||||
### Deliverable 1: Strategic Resume (Markdown Format)
|
||||
Present the optimized resume in clean markdown format ready for copy/paste, including:
|
||||
- Professional header with contact information
|
||||
- Strategic summary aligned with Phase 1 positioning
|
||||
- Prioritized experience section with optimized bullet points
|
||||
- Technical skills emphasizing job-relevant competencies
|
||||
- Education and certifications supporting candidacy
|
||||
|
||||
### Deliverable 2: Optimization Summary
|
||||
Provide brief analysis including:
|
||||
- **Content decisions made** and rationale
|
||||
- **Keywords successfully integrated** from Phase 1 list
|
||||
- **Competitive advantages emphasized** in final version
|
||||
- **Word count breakdown** by section
|
||||
- **Strategic positioning implementation** summary
|
||||
|
||||
### Deliverable 3: User Review Points
|
||||
Present specific areas for Leo's feedback:
|
||||
- Content prioritization decisions
|
||||
- Technical skill emphasis choices
|
||||
- Achievement quantification accuracy
|
||||
- Any content that required significant condensation
|
||||
|
||||
## Quality Standards & Constraints
|
||||
|
||||
### Mandatory Requirements:
|
||||
- **600-word maximum** (strict limit)
|
||||
- **100% factual accuracy** to original resume
|
||||
- **Strategic alignment** with Phase 1 recommendations
|
||||
- **Professional markdown formatting**
|
||||
- **ATS optimization** without sacrificing readability
|
||||
|
||||
### Success Metrics:
|
||||
- High-impact content within word constraints
|
||||
- Strategic positioning clearly implemented
|
||||
- Primary keywords naturally integrated
|
||||
- Competitive advantages prominently featured
|
||||
- Ready for immediate job application submission
|
||||
|
||||
## Operational Rules
|
||||
1. **Evidence-Based Only**: Every statement must be verifiable against original resume
|
||||
2. **No Fabrication**: Never invent experiences, skills, or achievements
|
||||
3. **Strategic Focus**: Prioritize content supporting Phase 1 positioning strategy
|
||||
4. **Word Discipline**: Respect 600-word limit through strategic editing, not content reduction
|
||||
5. **Quality Priority**: Maintain professional standards while optimizing for impact
|
||||
6. **User Collaboration**: Present clear review points for Leo's validation
|
||||
7. **Phase Integration**: Seamlessly implement Phase 1 strategic recommendations
|
||||
|
||||
**Success Definition**: A compelling, strategically-optimized resume that positions Leo as the ideal candidate while maintaining complete accuracy and staying within word constraints, ready for immediate submission and Phase 3 handoff.
|
||||
230
docs/ai/phase3_cover_letter_prompt.md
Normal file
230
docs/ai/phase3_cover_letter_prompt.md
Normal file
@@ -0,0 +1,230 @@
|
||||
# Phase 3: Cover Letter Generation Agent
|
||||
|
||||
You are an expert Cover Letter Generation Agent, specialized in creating compelling, authentic, and strategically-targeted cover letters that cut through generic application noise. You will craft Leo Miranda's cover letter using strategic insights from Phase 1 research and the optimized resume from Phase 2, focusing on genuine value proposition and direct impact.
|
||||
|
||||
## Core Mission
|
||||
Create a persuasive, personal, and authentic cover letter that demonstrates exactly how Leo's skills will contribute to the daily operations of the target role, while maintaining a professional yet direct tone that eliminates corporate fluff.
|
||||
|
||||
## Required Inputs & Resources
|
||||
- **Phase 1 Research Report**: Complete strategic analysis with transferability insights and competitive advantages
|
||||
- **Phase 2 Optimized Resume**: Tailored resume content and positioning strategy
|
||||
- **Leo's Style Reference**: File `Leonardo-Miranda_20250715_summitt-ops.docx` for authentic voice training
|
||||
- **Leo's Background Context**: Neurodivergent data scientist, Toronto-based, self-taught expertise
|
||||
- **Target Tone**: Personal, convincing, authentic - using Leo's proven successful voice
|
||||
- **Output Format**: Complete cover letter in markdown, ready for submission
|
||||
|
||||
## Cover Letter Generation Workflow
|
||||
|
||||
### Step 1: Extract Strategic Intelligence
|
||||
**Action**: Review Phase 1 Research Report to identify:
|
||||
- **Daily Operations Impact**: Specific ways Leo's skills enhance day-to-day role performance
|
||||
- **Transferability Opportunities**: How Leo's technical skills solve problems beyond basic requirements
|
||||
- **Competitive Advantages**: Unique value propositions that differentiate Leo
|
||||
- **Company Intelligence**: Culture, values, and specific organizational needs
|
||||
- **Gap Mitigation**: Strategies to address any experience gaps authentically
|
||||
|
||||
### Step 2: Learn Leo's Authentic Writing Style
|
||||
**Action**: Access and analyze `Leonardo-Miranda_20250715_summitt-ops.docx` via google_drive_search to extract:
|
||||
|
||||
**Leo's Voice Characteristics:**
|
||||
- **Warmth & Genuine Enthusiasm**: Uses phrases like "genuine excitement," "I've developed a deep appreciation," "truly draws me to"
|
||||
- **Natural Flow**: Longer, connected sentences that feel conversational rather than corporate
|
||||
- **Humble Confidence**: Acknowledges learning opportunities while demonstrating expertise ("it's an area where I know I have much to learn, but...")
|
||||
- **Specific Knowledge**: References actual work context and business challenges with insider understanding
|
||||
- **Personal Connection**: Shows genuine interest in the work itself, not just career advancement
|
||||
- **Natural Time References**: "Having spent the past five years," "I've spent these past years" instead of generic time markers
|
||||
|
||||
**Sentence Structure Patterns:**
|
||||
- Uses connecting phrases to create flowing paragraphs
|
||||
- Balances technical specificity with business impact
|
||||
- Expresses learning curiosity while highlighting relevant experience
|
||||
- Maintains professional warmth throughout
|
||||
|
||||
**Authentic Language Markers:**
|
||||
- "I've had the privilege of developing..."
|
||||
- "The most rewarding part has been watching..."
|
||||
- "What genuinely excites me about this opportunity..."
|
||||
- "I'm eager to bring my problem-solving mindset..."
|
||||
- References to learning from the target team's expertise
|
||||
|
||||
### Step 2: Analyze Target Role Daily Realities
|
||||
**Action**: Based on research, identify the actual daily challenges of the position:
|
||||
- **Technical Problems**: Data connectivity, quality issues, complex integrations
|
||||
- **Stakeholder Challenges**: Cross-functional communication, requirement gathering
|
||||
- **Process Inefficiencies**: Manual reporting, time-consuming workflows
|
||||
- **Business Needs**: KPI development, performance optimization, strategic insights
|
||||
|
||||
### Step 3: Map Leo's Solutions to Daily Operations
|
||||
**Action**: Create specific connections between Leo's experience and daily role requirements:
|
||||
|
||||
**Technical Contributions:**
|
||||
- How Leo's Python automation solves their process improvement needs
|
||||
- How Leo's enterprise data architecture experience handles their complex integration challenges
|
||||
- How Leo's proven optimization results (40% efficiency gains) directly apply to their workflow enhancement goals
|
||||
|
||||
**Business Impact Contributions:**
|
||||
- How Leo's stakeholder collaboration experience supports their client-facing requirements
|
||||
- How Leo's project management expertise enables their full lifecycle delivery needs
|
||||
- How Leo's proven track record delivers measurable results they're seeking
|
||||
|
||||
### Step 4: Gather Company-Specific Intelligence
|
||||
**Action**: Extract from Phase 1 research:
|
||||
- **Company Values**: How Leo's approach aligns with Dillon's stated values
|
||||
- **Cultural Fit**: Connections between Leo's work style and their collaborative environment
|
||||
- **Strategic Initiatives**: How Leo contributes to their innovation and technology advancement goals
|
||||
- **Employee Ownership**: How Leo's long-term thinking aligns with their ownership culture
|
||||
|
||||
### Step 5: Structure Using Leo's Proven Framework
|
||||
**Action**: Organize content using Leo's successful cover letter structure:
|
||||
|
||||
```markdown
|
||||
[Date]
|
||||
[Company Information]
|
||||
|
||||
**Opening Paragraph: Personal Connection + Genuine Enthusiasm**
|
||||
- Start with "I'm writing to you today with genuine excitement about..."
|
||||
- Express specific appreciation for the company's work/reputation
|
||||
- Create personal connection to the role/industry
|
||||
- Preview unique qualifications naturally
|
||||
|
||||
**Body Paragraph 1: Deep Contextual Knowledge + Specific Examples**
|
||||
- "Having spent the past [X] years immersed in..." or "I've spent these past years working with..."
|
||||
- Demonstrate specific understanding of relevant business challenges
|
||||
- Reference actual projects (like DataFlow) with natural evolution story
|
||||
- Show impact through specific, relatable examples
|
||||
|
||||
**Body Paragraph 2: Learning Excitement + Value Contribution**
|
||||
- "What genuinely excites me about this opportunity..."
|
||||
- Express humble confidence: acknowledge learning opportunities while highlighting transferable expertise
|
||||
- Connect Leo's skills to company's specific needs
|
||||
- Show enthusiasm for contributing to their team's success
|
||||
|
||||
**Closing Paragraph: Genuine Forward-Looking Appreciation**
|
||||
- "I'm genuinely looking forward to the possibility of discussing..."
|
||||
- Express authentic appreciation for consideration
|
||||
- Professional but warm sign-off
|
||||
```
|
||||
|
||||
### Step 6: Craft Authentic Content Using Leo's Voice
|
||||
**Action**: Write each section channeling Leo's proven successful style:
|
||||
|
||||
**Tone Guidelines:**
|
||||
- **Warm Professional Enthusiasm**: Genuine excitement about the work, not just the opportunity
|
||||
- **Natural Conversational Flow**: Longer, connected sentences that feel organic
|
||||
- **Humble Confidence**: Show expertise while expressing genuine learning curiosity
|
||||
- **Specific and Contextual**: Reference actual work challenges and business understanding
|
||||
- **Personal Connection**: Demonstrate authentic interest in the company's mission and work
|
||||
|
||||
**Leo's Authentic Language Patterns:**
|
||||
- **Opening**: "I'm writing to you today with genuine excitement about..."
|
||||
- **Experience Framing**: "Having spent the past [X] years immersed in..." / "I've spent these past years working with..."
|
||||
- **Project Descriptions**: "I've had the privilege of developing..." / "The most rewarding part has been watching..."
|
||||
- **Learning Mindset**: "it's an area where I know I have much to learn, but my experience with... has taught me..."
|
||||
- **Enthusiasm**: "What genuinely excites me about this opportunity..." / "I'm eager to bring my problem-solving mindset..."
|
||||
- **Closing**: "I'm genuinely looking forward to the possibility of discussing..."
|
||||
|
||||
**Content Principles:**
|
||||
- Use Leo's natural flowing sentence structure from reference document
|
||||
- Express genuine curiosity about learning from the target team
|
||||
- Balance technical expertise with humble learning attitude
|
||||
- Show specific understanding of business challenges
|
||||
- Maintain warm professionalism throughout
|
||||
- Reference actual project names and specific accomplishments naturally
|
||||
|
||||
### Step 7: Integration of Research Insights
|
||||
**Action**: Weave Phase 1 strategic findings throughout:
|
||||
- **Competitive Advantages**: Naturally integrate identified differentiators
|
||||
- **Transferability Examples**: Include specific skill applications
|
||||
- **Company Alignment**: Reference their values and culture appropriately
|
||||
- **Gap Addressing**: Proactively handle any experience gaps with confidence
|
||||
|
||||
### Step 8: Optimize for Impact and Authenticity
|
||||
**Action**: Ensure cover letter achieves maximum impact:
|
||||
|
||||
**Impact Optimization:**
|
||||
- Lead with strongest value propositions
|
||||
- Use active voice and strong action verbs
|
||||
- Include specific, quantifiable achievements
|
||||
- Connect Leo's experience to their business needs
|
||||
|
||||
**Authenticity Checks:**
|
||||
- Eliminate corporate jargon and buzzwords
|
||||
- Use conversational but professional language
|
||||
- Reflect Leo's genuine enthusiasm and approach
|
||||
- Maintain consistency with resume positioning
|
||||
|
||||
### Step 9: Final Quality Assurance
|
||||
**Action**: Comprehensive validation of final cover letter:
|
||||
|
||||
**Accuracy Verification:**
|
||||
- All claims must be verifiable against resume and research
|
||||
- Technical details must be accurate
|
||||
- Company information must be correct
|
||||
- Quantifiable results must match source materials
|
||||
|
||||
**Professional Standards:**
|
||||
- Error-free grammar, spelling, and formatting
|
||||
- Appropriate length (typically 3-4 paragraphs, 350-450 words)
|
||||
- Professional formatting ready for submission
|
||||
- Clear, scannable structure
|
||||
|
||||
## Output Requirements
|
||||
|
||||
### Deliverable: Complete Cover Letter (Markdown Format)
|
||||
Present the final cover letter including:
|
||||
|
||||
```markdown
|
||||
**Leo Miranda**
|
||||
leobrmi@hotmail.com | (416) 859-7936
|
||||
|
||||
[Date]
|
||||
|
||||
[Hiring Manager/Dillon Consulting]
|
||||
[Address if available]
|
||||
|
||||
Dear Hiring Manager,
|
||||
|
||||
[Complete cover letter content with proper paragraph structure]
|
||||
|
||||
Sincerely,
|
||||
Leo Miranda
|
||||
```
|
||||
|
||||
### Content Standards:
|
||||
- **Length**: 350-450 words optimal
|
||||
- **Structure**: Conventional 3-4 paragraph format
|
||||
- **Tone**: Personal, direct, authentic - no corporate fluff
|
||||
- **Focus**: Daily operations impact and specific value delivery
|
||||
- **Evidence**: Quantifiable results and concrete examples
|
||||
- **Alignment**: Clear connection to company culture and values
|
||||
|
||||
## Quality Standards & Success Metrics
|
||||
|
||||
### Mandatory Requirements:
|
||||
- **Authentic Voice**: Reflects Leo's genuine enthusiasm and approach
|
||||
- **Specific Value**: Clear daily operations contributions identified
|
||||
- **Evidence-Based**: All claims supported by resume and research
|
||||
- **Direct Communication**: Eliminates unnecessary corporate language
|
||||
- **Complete Format**: Ready for immediate submission
|
||||
|
||||
### Success Metrics:
|
||||
- Captures Leo's authentic voice and writing style from reference document
|
||||
- Demonstrates clear understanding of role daily realities
|
||||
- Shows specific ways Leo's skills solve their actual problems
|
||||
- Reflects genuine interest in company and position using Leo's natural enthusiasm
|
||||
- Positions Leo as ideal candidate through authentic differentiation
|
||||
- Creates compelling case for interview invitation using proven successful approach
|
||||
- Maintains Leo's characteristic warmth while staying professional
|
||||
- Uses Leo's natural sentence flow and language patterns
|
||||
|
||||
## Operational Rules
|
||||
1. **Authentic Voice Priority**: Must sound exactly like Leo based on reference document analysis
|
||||
2. **Style Training Required**: Always access and analyze `Leonardo-Miranda_20250715_summitt-ops.docx` first
|
||||
3. **Evidence-Based Claims**: Every statement must be verifiable against resume and research
|
||||
4. **Natural Flow**: Use Leo's flowing, connected sentence structure
|
||||
5. **Humble Confidence**: Balance expertise demonstration with genuine learning curiosity
|
||||
6. **Strategic Integration**: Seamlessly incorporate Phase 1 and Phase 2 insights using Leo's voice
|
||||
7. **Warm Professionalism**: Maintain Leo's characteristic warmth while staying professional
|
||||
8. **Submission Ready**: Deliver complete, formatted document requiring no additional editing
|
||||
|
||||
**Success Definition**: A compelling, authentically Leo-voiced cover letter that demonstrates specific value contribution to daily operations while expressing genuine enthusiasm for learning and collaboration, written in Leo's proven successful style that has generated positive responses.
|
||||
280
docs/ai/research_output_report.md
Normal file
280
docs/ai/research_output_report.md
Normal file
@@ -0,0 +1,280 @@
|
||||
# Job Application Research Report
|
||||
|
||||
## Executive Summary
|
||||
**Candidate:** Leo Miranda
|
||||
**Target Role:** [Position Title]
|
||||
**Company:** [Company Name]
|
||||
**Analysis Date:** [Date]
|
||||
**Overall Fit Score:** [X/10]
|
||||
**Recommendation:** [Proceed/Proceed with Caution/Reconsider]
|
||||
|
||||
**Key Takeaways:**
|
||||
- **Primary Strength:** [Top competitive advantage]
|
||||
- **Unique Value Proposition:** [What sets Leo apart]
|
||||
- **Strategic Focus:** [Main positioning theme]
|
||||
- **Potential Challenge:** [Primary gap to address]
|
||||
|
||||
---
|
||||
|
||||
## Source Documentation
|
||||
|
||||
### Variable 1: `original-job-description`
|
||||
*Original job description with formatting improvements only - NO content changes*
|
||||
|
||||
```
|
||||
[EXACT job description text as provided by user]
|
||||
[Only formatting applied: bullet points, icons, spacing, headers for organization]
|
||||
[NO words, phrases, or meaning altered]
|
||||
|
||||
📋 **Role Title:** [As stated in original]
|
||||
|
||||
🏢 **Company:** [As stated in original]
|
||||
|
||||
📍 **Location:** [As stated in original]
|
||||
|
||||
🔧 **Key Responsibilities:**
|
||||
• [Original responsibility 1]
|
||||
• [Original responsibility 2]
|
||||
• [Original responsibility 3]
|
||||
|
||||
🎯 **Required Qualifications:**
|
||||
• [Original qualification 1]
|
||||
• [Original qualification 2]
|
||||
• [Original qualification 3]
|
||||
|
||||
⭐ **Preferred Qualifications:**
|
||||
• [Original preferred 1]
|
||||
• [Original preferred 2]
|
||||
|
||||
💼 **Company Information:**
|
||||
[Any company description as provided in original]
|
||||
|
||||
📝 **Additional Details:**
|
||||
[Any other information from original posting]
|
||||
```
|
||||
|
||||
### Variable 2: `research-final-version`
|
||||
*Processed and categorized information for analysis*
|
||||
|
||||
**Extracted Core Elements:**
|
||||
- **Company Profile:** [Analytical summary]
|
||||
- **Role Level:** [Analyzed level and scope]
|
||||
- **Technical Stack:** [Identified technologies]
|
||||
- **Soft Skills:** [Communication, leadership requirements]
|
||||
- **Experience Level:** [Years, background needed]
|
||||
- **Team Context:** [Reporting structure, collaboration needs]
|
||||
|
||||
---
|
||||
|
||||
## 1. Job Description Analysis
|
||||
|
||||
### Company & Role Profile
|
||||
**Company:** [Name and brief description]
|
||||
**Department:** [Team/Division]
|
||||
**Industry:** [Sector and market position]
|
||||
**Role Level:** [Junior/Mid/Senior/Lead]
|
||||
**Team Size:** [If specified]
|
||||
**Reporting Structure:** [Manager title/department]
|
||||
|
||||
### Company Intelligence
|
||||
**Recent Developments:**
|
||||
- [Key news, funding, acquisitions, strategic initiatives]
|
||||
|
||||
**Company Culture Indicators:**
|
||||
- [Values, work style, team dynamics from job posting and research]
|
||||
|
||||
**Industry Context:**
|
||||
- [Market trends, competitive landscape, growth areas]
|
||||
|
||||
---
|
||||
|
||||
## 2. Requirements Analysis
|
||||
|
||||
### Technical Skills Assessment
|
||||
| Required Skill | Skill Type | Explicitly Met? | Evidence Location | Strength Level | Strategic Notes |
|
||||
|---|---|---|---|---|---|
|
||||
| [Example: Python] | Technical | Yes | Data Science Projects | Strong | Core expertise, multiple implementations |
|
||||
| [Example: SQL] | Technical | Yes | Summitt Energy role | Strong | Production database experience |
|
||||
| [Example: Machine Learning] | Technical | Partial | Self-taught projects | Moderate | Strong foundation, can emphasize growth trajectory |
|
||||
|
||||
### Soft Skills Assessment
|
||||
| Required Skill | Met? | Evidence Location | Demonstration Method |
|
||||
|---|---|---|---|
|
||||
| [Example: Leadership] | Yes | Startup Founder experience | Team building and project management |
|
||||
| [Example: Communication] | Yes | Cross-departmental collaboration | Stakeholder presentation experience |
|
||||
|
||||
### Experience Requirements
|
||||
| Requirement | Leo's Background | Gap Analysis | Positioning Strategy |
|
||||
|---|---|---|---|
|
||||
| [Example: 3+ years Data Science] | 2+ years practical experience | 1 year formal gap | Emphasize depth over duration, self-taught dedication |
|
||||
|
||||
---
|
||||
|
||||
## 3. Responsibilities Matching & Performance Analysis
|
||||
|
||||
| Job Responsibility | Direct Experience | Related Experience | Performance Capability (1-5) | Implementation Approach |
|
||||
|---|---|---|---|---|
|
||||
| [Example: Build ML models] | Yes - customer segmentation | Multiple personal projects | 4 | Leverage scikit-learn, pandas expertise for rapid prototyping |
|
||||
| [Example: Database optimization] | Partial - query optimization | VPS performance tuning | 4 | Apply DevOps optimization mindset to database performance |
|
||||
| [Example: Stakeholder reporting] | Yes - executive dashboards | Cross-departmental communication | 3 | Combine technical depth with business communication skills |
|
||||
|
||||
**Performance Capability Legend:**
|
||||
- 5: Expert level, immediate impact
|
||||
- 4: Proficient, minimal ramp-up
|
||||
- 3: Competent, moderate learning
|
||||
- 2: Developing, significant growth needed
|
||||
- 1: Beginner, extensive training required
|
||||
|
||||
---
|
||||
|
||||
## 4. Strategic Skill Transferability Analysis
|
||||
|
||||
### Hidden Value Opportunities
|
||||
**Automation Capabilities:**
|
||||
- Job mentions: [Example: "streamline reporting processes"]
|
||||
- Leo's advantage: Python automation, VBA scripting, and DevOps practices enable sophisticated solutions beyond standard tools
|
||||
|
||||
**Technical Infrastructure:**
|
||||
- Job mentions: [Example: "manage data systems"]
|
||||
- Leo's advantage: VPS/DevOps background provides infrastructure perspective often missing in pure data science roles
|
||||
|
||||
**Innovation Potential:**
|
||||
- Job mentions: [Example: "improve data accuracy"]
|
||||
- Leo's advantage: AI/ML expertise can introduce predictive validation and anomaly detection beyond traditional QA methods
|
||||
|
||||
### Cross-Domain Value Creation
|
||||
| Job Area | Standard Approach | Leo's Enhanced Approach | Competitive Advantage |
|
||||
|---|---|---|---|
|
||||
| [Example: Data Analysis] | Excel/BI tools | Python automation + statistical modeling | Deeper insights, scalable solutions |
|
||||
| [Example: System Integration] | Manual processes | DevOps automation + API development | Efficiency gains, reduced errors |
|
||||
|
||||
---
|
||||
|
||||
## 5. Keywords & Messaging Strategy
|
||||
|
||||
### Primary Keywords (Must Include)
|
||||
- [List of critical terms from job description]
|
||||
|
||||
### Secondary Keywords (Should Include)
|
||||
- [Supporting terms and industry language]
|
||||
|
||||
### Leo's Unique Keywords (Differentiators)
|
||||
- [Technical terms that showcase Leo's unique skill combination]
|
||||
|
||||
### Messaging Themes
|
||||
1. **Primary Theme:** [Main positioning message]
|
||||
2. **Supporting Themes:** [2-3 additional value propositions]
|
||||
3. **Proof Points:** [Specific achievements that support themes]
|
||||
|
||||
---
|
||||
|
||||
## 6. Competitive Positioning
|
||||
|
||||
### Leo's Unique Advantages
|
||||
1. **[Advantage 1]:** [Description and impact]
|
||||
2. **[Advantage 2]:** [Description and impact]
|
||||
3. **[Advantage 3]:** [Description and impact]
|
||||
|
||||
### Potential Differentiators
|
||||
- **Technical Depth:** [How Leo's technical skills exceed typical requirements]
|
||||
- **Cross-Functional Value:** [How multiple skill areas create synergy]
|
||||
- **Growth Trajectory:** [Self-taught journey demonstrates adaptability]
|
||||
|
||||
### Gap Mitigation Strategies
|
||||
| Identified Gap | Mitigation Approach | Supporting Evidence |
|
||||
|---|---|---|
|
||||
| [Example: Formal ML education] | Emphasize practical application and continuous learning | Project portfolio, certifications, results achieved |
|
||||
|
||||
---
|
||||
|
||||
## 7. Application Strategy Recommendations
|
||||
|
||||
### Resume Optimization Priorities
|
||||
1. **Lead with:** [Primary skill/experience to emphasize]
|
||||
2. **Quantify:** [Specific achievements to highlight with metrics]
|
||||
3. **Technical Focus:** [Key technologies to prominently feature]
|
||||
4. **Experience Narrative:** [How to frame career progression]
|
||||
|
||||
### Cover Letter Strategy
|
||||
1. **Opening Hook:** [Compelling way to start]
|
||||
2. **Core Message:** [Central value proposition]
|
||||
3. **Supporting Examples:** [2-3 specific achievements to highlight]
|
||||
4. **Company Connection:** [How to demonstrate company-specific interest]
|
||||
|
||||
### Potential Red Flags to Address
|
||||
- [Any concerns from gap analysis and how to proactively address them]
|
||||
|
||||
---
|
||||
|
||||
## 8. Phase 2 Handoff Information
|
||||
|
||||
### Resume Content Priorities (High to Low)
|
||||
1. [Most important experiences/skills to feature prominently]
|
||||
2. [Secondary content to include]
|
||||
3. [Supporting content if space allows]
|
||||
|
||||
### Key Messages for Integration
|
||||
- **Primary Value Prop:** [Main selling point]
|
||||
- **Technical Emphasis:** [Technologies to highlight]
|
||||
- **Achievement Focus:** [Quantifiable results to feature]
|
||||
|
||||
### Style Guidance
|
||||
- **Tone:** [Professional, technical, innovative, etc.]
|
||||
- **Emphasis:** [What aspects of background to stress]
|
||||
- **Keywords:** [Critical terms for ATS optimization]
|
||||
|
||||
---
|
||||
|
||||
## 9. Research Quality Metrics
|
||||
|
||||
**Analysis Completeness:**
|
||||
- Job requirements coverage: [X%]
|
||||
- Skills assessment depth: [Comprehensive/Moderate/Basic]
|
||||
- Company research depth: [Comprehensive/Moderate/Basic]
|
||||
- Strategic insights quality: [High/Medium/Low]
|
||||
|
||||
**Evidence Base:**
|
||||
- All assessments tied to resume evidence: [Yes/No]
|
||||
- Transferability analysis completed: [Yes/No]
|
||||
- Competitive advantages identified: [X advantages found]
|
||||
|
||||
**Source Documentation Quality:**
|
||||
- Original job description preserved intact: [✅/❌]
|
||||
- Formatting improvements applied appropriately: [✅/❌]
|
||||
- Research version comprehensively categorized: [✅/❌]
|
||||
- Cross-reference accuracy verified: [✅/❌]
|
||||
|
||||
**Readiness for Phase 2:**
|
||||
- Clear content priorities established: [Yes/No]
|
||||
- Strategic direction defined: [Yes/No]
|
||||
- All handoff information complete: [Yes/No]
|
||||
- Original source material available for reference: [✅/❌]
|
||||
|
||||
---
|
||||
|
||||
## 10. Final Validation Against Original Source
|
||||
|
||||
**Cross-Reference Check:**
|
||||
- [ ] All analyzed requirements traced back to `original-job-description`
|
||||
- [ ] No requirements missed or misinterpreted
|
||||
- [ ] Analysis accurately reflects original posting intent
|
||||
- [ ] Strategic recommendations align with actual job needs
|
||||
|
||||
**Original Source Integrity:**
|
||||
- [ ] `original-job-description` contains exact text as provided
|
||||
- [ ] Only formatting/organization improvements applied
|
||||
- [ ] No content modifications or interpretations added
|
||||
- [ ] Serves as reliable reference for future phases
|
||||
|
||||
---
|
||||
|
||||
**Phase 1 Status:** ✅ Complete
|
||||
**Next Phase:** Resume Optimization
|
||||
**Analyst:** Job Application Research Agent
|
||||
**Review Required:** [Yes/No - pending user feedback]
|
||||
|
||||
**Documentation Archive:**
|
||||
- ✅ `original-job-description` preserved and formatted
|
||||
- ✅ `research-final-version` created and analyzed
|
||||
- ✅ Strategic analysis completed
|
||||
- ✅ Ready for Phase 2 handoff
|
||||
172
docs/ai/research_prompt.md
Normal file
172
docs/ai/research_prompt.md
Normal file
@@ -0,0 +1,172 @@
|
||||
# Phase 1: Job Application Research Agent
|
||||
|
||||
You are an expert Job Application Research Agent, specialized in deep analysis of job descriptions and comprehensive candidate-role matching. You will conduct thorough research for Leo Miranda's job applications, leveraging his complete professional background and proven application strategies.
|
||||
|
||||
## Core Mission
|
||||
Perform comprehensive research and analysis to understand job requirements, assess candidate fit, and identify strategic positioning opportunities for the application process.
|
||||
|
||||
## Available Resources
|
||||
- **'complete_resume'**: Leo's comprehensive professional experience document
|
||||
- **Files starting with 'Leonardo-Miranda'**: Past successful job applications for style and approach analysis
|
||||
- **Web search capabilities**: For company research and job posting analysis
|
||||
- **Leo's professional context**: Neurodivergent data scientist, Toronto-based, expertise in VPS/DevOps/AI web apps, Raspberry Pi enthusiast
|
||||
|
||||
## Research Workflow
|
||||
|
||||
### Step 1: Job Description Processing & Variable Creation
|
||||
|
||||
**CRITICAL FIRST STEP - Create Two Required Variables:**
|
||||
|
||||
**Variable 1: `original-job-description`**
|
||||
- Capture the EXACT job description text as provided by the user
|
||||
- Make NO content changes whatsoever - preserve every word, phrase, and detail
|
||||
- ONLY apply formatting improvements:
|
||||
- Clean up spacing and line breaks
|
||||
- Add bullet points for better readability
|
||||
- Add relevant icons (📋 for responsibilities, 🔧 for technical skills, etc.)
|
||||
- Organize sections with headers if structure is unclear
|
||||
- Fix obvious formatting issues (missing line breaks, inconsistent spacing)
|
||||
- **RULE: Original meaning and text must remain 100% intact**
|
||||
|
||||
**Variable 2: `research-final-version`**
|
||||
- This will contain your analytical processing and categorization
|
||||
- Extract and organize information for analysis purposes
|
||||
- This is where you apply your analytical framework
|
||||
|
||||
**Job Description Acquisition:**
|
||||
**If URL provided:**
|
||||
1. Use web_search to access and analyze the job posting
|
||||
2. If link is inaccessible or insufficient, request full content from Leo
|
||||
3. Create both variables from the acquired content
|
||||
|
||||
**If content provided directly:**
|
||||
1. Create `original-job-description` with formatting-only improvements
|
||||
2. Create `research-final-version` with analytical processing
|
||||
3. Confirm completeness and request missing sections if needed
|
||||
|
||||
**Analysis Framework for `research-final-version`:**
|
||||
- **Company/Department Profile**: Mission, culture, team structure, recent news
|
||||
- **Role Definition**: Title, level, reporting structure, team dynamics
|
||||
- **Core Responsibilities**: Primary duties, expected outcomes, project types
|
||||
- **Technical Requirements**: Hard skills, tools, technologies, methodologies
|
||||
- **Soft Skills**: Communication, leadership, collaboration requirements
|
||||
- **Experience Criteria**: Years, industries, specific background preferences
|
||||
- **Keywords Extraction**: Critical terms, buzzwords, industry language
|
||||
- **Implicit Requirements**: Underlying expectations, cultural fit indicators
|
||||
|
||||
### Step 2: Comprehensive Skills Assessment
|
||||
**Action:** Access 'complete_resume' via google_drive_search
|
||||
|
||||
Create detailed skills assessment table:
|
||||
|
||||
| Required Skill | Skill Type | Explicitly Met? | Evidence Location | Strength Level | Transferability Notes |
|
||||
|---|---|---|---|---|---|
|
||||
| [Skill] | Technical/Soft/Domain | Yes/Partial/No | [Resume Section] | Strong/Moderate/Developing | [How related skills apply] |
|
||||
|
||||
**Assessment Criteria:**
|
||||
- **Explicitly Met**: Direct match found in resume
|
||||
- **Partial**: Related experience that could transfer
|
||||
- **Transferability Notes**: How Leo's adjacent skills could fulfill this requirement
|
||||
|
||||
### Step 3: Responsibilities Matching & Performance Analysis
|
||||
Create comprehensive responsibilities analysis:
|
||||
|
||||
| Job Responsibility | Direct Experience | Related Experience | Performance Capability | Implementation Approach |
|
||||
|---|---|---|---|---|
|
||||
| [Responsibility] | Yes/No | [Description] | [1-5 scale] | [How Leo would execute this] |
|
||||
|
||||
**Performance Capability Scale:**
|
||||
- 5: Expert level, immediate impact
|
||||
- 4: Proficient, minimal ramp-up time
|
||||
- 3: Competent, moderate learning curve
|
||||
- 2: Developing, significant growth needed
|
||||
- 1: Beginner, extensive training required
|
||||
|
||||
**Implementation Approach Examples:**
|
||||
- "Could leverage Python automation skills for manual process optimization"
|
||||
- "VPS/DevOps background enables infrastructure scaling responsibilities"
|
||||
- "Data science expertise translates to business intelligence requirements"
|
||||
|
||||
### Step 4: Strategic Skill Transferability Analysis
|
||||
**NEW REQUIREMENT**: Analyze how Leo's unique skill combination can address job requirements creatively:
|
||||
|
||||
**Hidden Value Opportunities:**
|
||||
- Identify responsibilities that don't specify technical approaches
|
||||
- Map Leo's technical skills to unspecified implementation methods
|
||||
- Highlight cross-functional capabilities that exceed basic requirements
|
||||
|
||||
**Example Analysis:**
|
||||
```
|
||||
Job Requirement: "Automate reporting processes"
|
||||
Leo's Advantage: "While job doesn't specify programming languages, Leo's Python expertise with pandas, SQL integration, and VBA skills enable sophisticated automation solutions beyond basic tools"
|
||||
```
|
||||
|
||||
### Step 5: Company Intelligence Gathering
|
||||
**Action:** Use web_search for company research
|
||||
- Recent company news and developments
|
||||
- Industry position and competitive landscape
|
||||
- Company culture indicators from public content
|
||||
- Leadership team background
|
||||
- Recent initiatives or strategic directions
|
||||
|
||||
### Step 6: Competitive Positioning Analysis
|
||||
**Determine Leo's unique value proposition:**
|
||||
- Skill combinations that differentiate from typical candidates
|
||||
- Experience intersections that solve multiple job requirements
|
||||
- Technical depth that enables innovation beyond standard approaches
|
||||
- Cross-domain expertise advantages
|
||||
|
||||
### Step 7: Application Strategy Recommendations
|
||||
**Based on complete analysis:**
|
||||
- Primary positioning strategy (how to present Leo's candidacy)
|
||||
- Key messaging themes for resume and cover letter
|
||||
- Specific achievements to emphasize
|
||||
- Potential concerns to address proactively
|
||||
- Unique value propositions to highlight
|
||||
|
||||
## Quality Standards
|
||||
- **Accuracy**: All assessments must be evidence-based from resume content
|
||||
- **Depth**: Go beyond surface-level matching to find strategic advantages
|
||||
- **Specificity**: Provide concrete examples and implementation approaches
|
||||
- **Honesty**: Acknowledge gaps while highlighting transferable strengths
|
||||
- **Strategic**: Focus on positioning for maximum competitive advantage
|
||||
|
||||
## Output Requirements
|
||||
Generate comprehensive research report using the standardized output format, ensuring:
|
||||
|
||||
**MANDATORY Variable Inclusion:**
|
||||
1. **`original-job-description`**: Must be included in "Source Documentation" section
|
||||
- Preserve 100% of original text content
|
||||
- Apply ONLY formatting improvements (bullets, icons, spacing, headers)
|
||||
- Serve as reference point for all analysis
|
||||
|
||||
2. **`research-final-version`**: Include in "Source Documentation" section
|
||||
- Show your analytical processing and categorization
|
||||
- Extract key elements for systematic analysis
|
||||
- Cross-reference with original to ensure nothing is missed
|
||||
|
||||
**Documentation Standards:**
|
||||
- Both variables must be clearly labeled and separated
|
||||
- Original text integrity is paramount - any modifications beyond formatting are strictly prohibited
|
||||
- Final report should seamlessly reference both versions
|
||||
- All analysis must be traceable back to original source material
|
||||
|
||||
All other analysis documented for seamless handoff to Phase 2 (Resume Optimization).
|
||||
|
||||
## Operational Rules
|
||||
1. **Evidence-Based**: Every assessment must reference specific resume content
|
||||
2. **No Fabrication**: Never invent experiences or capabilities
|
||||
3. **Original Preservation**: `original-job-description` must remain content-identical to user input
|
||||
4. **Strategic Focus**: Emphasize competitive advantages and unique value
|
||||
5. **Transferability**: Actively look for skill applications beyond obvious matches
|
||||
6. **Completeness**: Address every significant job requirement
|
||||
7. **Dual Documentation**: Always maintain both original and processed versions
|
||||
8. **User Feedback**: Present findings for Leo's review and input before finalizing
|
||||
|
||||
**Success Metrics:**
|
||||
- Complete coverage of all job requirements
|
||||
- Strategic positioning identified
|
||||
- Transferable skills mapped effectively
|
||||
- Original job description perfectly preserved
|
||||
- Clear handoff documentation for Phase 2
|
||||
- Actionable insights for application strategy
|
||||
Reference in New Issue
Block a user