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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test examples - Support for async testing, AI service mocking, and database testing ## 🧹 Cleanup - Removed 9 duplicate/outdated documentation files - Eliminated conflicting technology references (Node.js/TypeScript) - Consolidated overlapping content into comprehensive guides - Cleaned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>
49 lines
3.8 KiB
Markdown
49 lines
3.8 KiB
Markdown
# **Leo Miranda**
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**leobrmi@hotmail.com | (416) 859-7936**
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## **Professional Summary**
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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.
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## **Core Competencies**
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**Technical Expertise:** Power BI • SQL (Microsoft SQL, MySQL, PostgreSQL) • Python (Pandas, NumPy, SQLAlchemy) • Data Modeling • Dashboard Development • Process Automation • FastAPI • Azure DevOps
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**Business Intelligence:** KPI Development • Data Integration • Reporting Optimization • Data Quality Management • Business Process Analysis • Performance Analytics
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**Project Leadership:** Full Lifecycle Management • Stakeholder Collaboration • Change Management • Cross-Functional Communication • Requirements Gathering • User Training
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## **Professional Experience**
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### **Data and Reporting Analyst | Summitt Energy | 2020-Present**
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**Enterprise Data Solutions & Architecture**
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• Designed and evolved comprehensive DataFlow system over 5 years through 4 major version updates, establishing foundational reporting infrastructure for Customer Service department
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• Implemented Object-Oriented Programming architecture with SQLAlchemy declarative table definitions, creating scalable enterprise data models
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• Developed high-performance batch upload methods for seamless CSV-to-MSSQL data ingestion and optimized CRUD operations
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**Dashboard Development & Business Intelligence**
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• Created interactive dashboards using Power BI, Plotly-Dash, and advanced visualization tools, providing real-time insights into business operations and partner performance
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• Reduced reporting times by 50% through automated data workflows and enhanced decision-making capabilities
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• Developed Customer Service Data Portal ensuring 100% accessibility with role-based access controls
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**Process Optimization & Automation**
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• Engineered Python automation scripts improving department reporting efficiency by 40% with near-zero error rates
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• Implemented comprehensive KPI tracking resulting in 30% improvement in abandon rate and 50% increase in Average Speed Answer
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• Established robust error handling mechanisms with comprehensive logging, drastically improving system reliability and maintainability
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**Project Leadership & Stakeholder Collaboration**
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• Led end-to-end implementation of retention team, managing 4 specialists and executing technical configurations for multi-state campaigns
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• Collaborated with IT department on architectural design and implementation of inbound and outbound workflows
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• Orchestrated Genesys Cloud migration, focusing on tool configuration, data architecture design, and workflow optimization
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• Implemented Azure DevOps for centralized project repository management with Agile-based boards
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### **Commercial Sales Admin | Summitt Energy | 2017-2020**
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• Developed Commercial Drop Manager tool achieving 100% accuracy and reducing task completion time by 75%
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• Created data visualization tools for commercial volume forecasting, enhancing accuracy by 25% and promoting data-driven decision-making
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• Monitored sales team performance leading to 15% increase in sales efficiency through weekly reporting and analysis
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## **Education & Certifications**
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• **Ryerson University:** Big Data and Analytics Certification (2021)
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• **IBM Data Science Professional Certificate** (Ongoing, Expected 2024)
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• **CAPM Certification** (Project Management Institute)
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• **Bachelor's Degree in Business Administration** - UCAM (Rio de Janeiro/Brazil)
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• **ITIL V3 Foundation Certification** |