feat: implement bio landing page with dash-mantine-components #12
@@ -1,26 +1,28 @@
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"""Dash application factory with Pages routing."""
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import dash
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from dash import html
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import dash_mantine_components as dmc
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from .config import get_settings
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def create_app() -> dash.Dash:
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"""Create and configure the Dash application."""
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settings = get_settings()
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app = dash.Dash(
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__name__,
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use_pages=True,
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suppress_callback_exceptions=True,
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title="Analytics Portfolio",
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external_stylesheets=dmc.styles.ALL,
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)
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app.layout = html.Div(
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[
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dash.page_container,
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]
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app.layout = dmc.MantineProvider(
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dash.page_container,
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theme={
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"primaryColor": "blue",
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"fontFamily": "'Inter', sans-serif",
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},
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forceColorScheme="light",
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)
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return app
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@@ -5,7 +5,7 @@ from functools import lru_cache
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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class Settings(BaseSettings): # type: ignore[misc]
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"""Application settings loaded from environment variables."""
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model_config = SettingsConfigDict(
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@@ -1,14 +1,205 @@
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"""Bio landing page."""
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import dash
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from dash import html
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import dash_mantine_components as dmc
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from dash_iconify import DashIconify
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dash.register_page(__name__, path="/", name="Home")
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layout = html.Div(
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[
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html.H1("Analytics Portfolio"),
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html.P("Welcome to Leo's analytics portfolio."),
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html.P("Dashboard coming soon."),
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]
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# Content from bio_content_v2.md
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HEADLINE = "Leo | Data Engineer & Analytics Developer"
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TAGLINE = "I build data infrastructure that actually gets used."
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SUMMARY = """Over the past 5 years, I've designed and evolved an enterprise analytics platform
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from scratch—now processing 1B+ rows across 21 tables with Python-based ETL pipelines and
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dbt-style SQL transformations. The result: 40% efficiency gains, 30% reduction in call
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abandon rates, and dashboards that executives actually open.
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My approach: dimensional modeling (star schema), layered transformations
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(staging → intermediate → marts), and automation that eliminates manual work.
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I've built everything from self-service analytics portals to OCR-powered receipt processing systems.
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Currently at Summitt Energy supporting multi-market operations across Canada and 8 US states.
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Previously cut my teeth on IT infrastructure projects at Petrobras (Fortune 500) and the
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Project Management Institute."""
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TECH_STACK = [
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"Python",
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"Pandas",
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"SQLAlchemy",
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"FastAPI",
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"SQL",
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"PostgreSQL",
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"MSSQL",
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"Power BI",
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"Plotly/Dash",
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"dbt patterns",
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"Genesys Cloud",
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]
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PROJECTS = [
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{
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"title": "Toronto Housing Dashboard",
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"description": "Choropleth visualization of GTA real estate trends with TRREB and CMHC data.",
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"status": "In Development",
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"link": "/toronto",
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},
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{
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"title": "Energy Pricing Analysis",
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"description": "Time series analysis and ML prediction for utility market pricing.",
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"status": "Planned",
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"link": "/energy",
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},
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]
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SOCIAL_LINKS = [
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{
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"platform": "LinkedIn",
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"url": "https://linkedin.com/in/leobmiranda",
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"icon": "mdi:linkedin",
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},
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{
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"platform": "GitHub",
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"url": "https://github.com/leomiranda",
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"icon": "mdi:github",
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},
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]
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AVAILABILITY = "Open to Senior Data Analyst, Analytics Engineer, and BI Developer opportunities in Toronto or remote."
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def create_hero_section() -> dmc.Stack:
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"""Create the hero section with name and tagline."""
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return dmc.Stack(
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[
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dmc.Title(HEADLINE, order=1, ta="center"),
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dmc.Text(TAGLINE, size="xl", c="dimmed", ta="center"),
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],
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gap="xs",
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py="xl",
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)
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def create_summary_section() -> dmc.Paper:
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"""Create the professional summary section."""
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paragraphs = SUMMARY.strip().split("\n\n")
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return dmc.Paper(
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dmc.Stack(
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[
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dmc.Title("About", order=2, size="h3"),
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*[dmc.Text(p.replace("\n", " "), size="md") for p in paragraphs],
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],
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gap="md",
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),
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p="xl",
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radius="md",
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withBorder=True,
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)
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def create_tech_stack_section() -> dmc.Paper:
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"""Create the tech stack section with badges."""
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return dmc.Paper(
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dmc.Stack(
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[
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dmc.Title("Tech Stack", order=2, size="h3"),
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dmc.Group(
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[
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dmc.Badge(tech, size="lg", variant="light", radius="sm")
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for tech in TECH_STACK
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],
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gap="sm",
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),
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],
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gap="md",
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),
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p="xl",
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radius="md",
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withBorder=True,
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)
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def create_project_card(project: dict[str, str]) -> dmc.Card:
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"""Create a project card."""
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status_color = "blue" if project["status"] == "In Development" else "gray"
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return dmc.Card(
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[
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dmc.Group(
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[
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dmc.Text(project["title"], fw=500, size="lg"),
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dmc.Badge(project["status"], color=status_color, variant="light"),
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],
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justify="space-between",
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align="center",
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),
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dmc.Text(project["description"], size="sm", c="dimmed", mt="sm"),
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],
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withBorder=True,
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radius="md",
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p="lg",
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)
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def create_projects_section() -> dmc.Paper:
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"""Create the portfolio projects section."""
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return dmc.Paper(
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dmc.Stack(
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[
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dmc.Title("Portfolio Projects", order=2, size="h3"),
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dmc.SimpleGrid(
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[create_project_card(p) for p in PROJECTS],
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cols={"base": 1, "sm": 2},
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spacing="lg",
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),
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],
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gap="md",
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),
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p="xl",
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radius="md",
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withBorder=True,
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)
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def create_social_links() -> dmc.Group:
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"""Create social media links."""
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return dmc.Group(
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[
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dmc.Anchor(
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dmc.Button(
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link["platform"],
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leftSection=DashIconify(icon=link["icon"], width=20),
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variant="outline",
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size="md",
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),
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href=link["url"],
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target="_blank",
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)
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for link in SOCIAL_LINKS
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],
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justify="center",
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gap="md",
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)
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def create_availability_section() -> dmc.Text:
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"""Create the availability statement."""
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return dmc.Text(AVAILABILITY, size="sm", c="dimmed", ta="center", fs="italic")
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layout = dmc.Container(
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dmc.Stack(
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[
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create_hero_section(),
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create_summary_section(),
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create_tech_stack_section(),
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create_projects_section(),
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create_social_links(),
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dmc.Divider(my="lg"),
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create_availability_section(),
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dmc.Space(h=40),
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],
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gap="xl",
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),
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size="md",
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py="xl",
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)
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@@ -39,6 +39,7 @@ dependencies = [
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"dash>=3.3",
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"plotly>=6.5",
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"dash-mantine-components>=2.4",
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"dash-iconify>=0.1",
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# PDF Parsing
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"pdfplumber>=0.11",
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@@ -132,17 +133,20 @@ skip-magic-trailing-comma = false
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python_version = "3.11"
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strict = true
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warn_return_any = true
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warn_unused_ignores = true
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warn_unused_ignores = false
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disallow_untyped_defs = true
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plugins = ["pydantic.mypy"]
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[[tool.mypy.overrides]]
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module = [
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"dash.*",
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"dash_mantine_components.*",
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"dash_iconify.*",
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"plotly.*",
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"geopandas.*",
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"shapely.*",
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"pdfplumber.*",
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"tabula.*",
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"pydantic_settings.*",
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]
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ignore_missing_imports = true
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