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inezabeck/README.md

Lutgardis Ineza Beck

Welcome to my GitHub portfolio!
My name is Lutgardis Ineza Beck. I have a background in Industrial Engineering and Managerial Sciences from Northwestern University and a passion for AI, software engineering, data science, and using technology for community impact.
This page showcases selected projects that demonstrate my technical skills and problem-solving ability.


Featured Projects

A Claude-powered web app that privately matches South Side Chicago residents to real, verified food, housing, health, and legal resources — built after volunteering at the St. Sabina Employment Resource Center in Auburn Gresham. No sign-in, nothing stored; the assistant is hard-scoped to a hand-verified resource list so it can never invent an address or phone number.
Tech: Claude API (Anthropic), Cloudflare Workers, HTML/CSS/JavaScript, real Chicago civic open data


A lightweight workflow connecting a Google Form to Slack — new signups automatically trigger an instant notification, no manual spreadsheet-checking required.
Tech: Google Forms, Google Sheets, Google Apps Script, Slack Webhooks


Exploratory analysis and visualization of Chicago crime (2001–2017).
Includes interactive maps and statistical graphics for pattern discovery.
Tech: Python, Pandas, Seaborn, Folium


Machine learning project predicting Philadelphia housing prices.
Includes regression models, feature importance analysis, and visual evaluation of predictions.
Tech: Python, scikit-learn, Pandas, Matplotlib, Seaborn


A full-stack task manager app built with Flask, SQLite, and HTML/CSS.
Demonstrates CRUD operations, persistence, and clean UI.
Tech: Python, Flask, SQLite, HTML/CSS


Automation pipeline that scrapes live BBC News headlines, processes the text, and stores results in CSV for analysis.
Tech: Python, Requests, BeautifulSoup


Skills

  • AI & LLM Tools: Claude API (Anthropic), prompt design and safety scoping, LLM-powered application development
  • Programming: Python, JavaScript, SQL, R, HTML/CSS
  • Data Science & ML: Pandas, NumPy, scikit-learn, Seaborn, Matplotlib
  • Cloud & Automation: Cloudflare Workers, Google Apps Script, Slack Webhooks, serverless API integration
  • Software & Tools: Flask, Git, Jupyter, VS Code
  • Languages: English (fluent), French (fluent), Kinyarwanda (native)

Let's Connect

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  1. bridge-chicago bridge-chicago Public

    A Claude-powered web app connecting South Side Chicago residents to real, verified food, housing, health, and legal resources: privately, with no sign-in.

    HTML

  2. volunteer-signup-slack-notifier volunteer-signup-slack-notifier Public

    A workflow connecting a Google Form to Slack: new signups trigger an instant notification, no manual spreadsheet-checking required.

    JavaScript

  3. data-visualization data-visualization Public

    Exploratory data analysis and visualization of Chicago crime (2001–2017) using Python, Pandas, Seaborn, and Folium. Includes interactive maps and statistical charts.

    HTML

  4. ml-housing-prices ml-housing-prices Public

    Predicting Philadelphia housing prices using the OPA property assessment dataset with Linear Regression and Random Forest models.

    Jupyter Notebook

  5. task-manager-webapp task-manager-webapp Public

    A full-stack task manager built with Flask, SQLite, and HTML/CSS. Supports adding, completing, and deleting tasks with a styled user interface.

    Python

  6. python-automation python-automation Public

    Python automation pipeline that scrapes live BBC News headlines, processes the text, and stores results in CSV for further analysis.

    Python