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Michael-Negash/README.md

Michael

Typing SVG

About

Building data-driven systems that turn complex signals into real-world predictions.

Developed Voter DNA: a machine learning model trained on 60,000+ samples that simulates how demographic traits and their interactions shape voting behavior. Combines LASSO regression with an interactive interface for real-time voter profile prediction.

Also building OSZ Polls, a platform for aggregating U.S. polling data and modeling district-level election outcomes through live, map-based visualizations.

• Built 90% of the platform end-to-end (front-end → data pipelines)
• Developed a Swingometer to simulate U.S. House elections
• Designed district-level dashboards with live projections
• Integrated real-time polling APIs for dynamic visualization

🛠 Tech Stack ▼(Click To Expand)

Languages

Data & ML Libraries

BI & Analytics

Dev Environment & Tools

*Open to data engineering, full-stack, and analytics roles.*

Pinned Loading

  1. Interactive-U.S.-House-swingometer Interactive-U.S.-House-swingometer Public

    Interactive U.S. House swingometer — drag sliders to reshape the electoral map by race, turnout & party split.

    JavaScript

  2. Voter-DNA-ML-Prediction-Data-Analysis Voter-DNA-ML-Prediction-Data-Analysis Public

    A full-stack data analysis and machine learning project built on 60,000+ synthetic voter samples. Uses LASSO-regularized logistic regression to predict political lean based on demographic traits, i…

    Python

  3. My-custom-unix-shell-c My-custom-unix-shell-c Public

    Custom Unix shell in C with pipelines, background processes, variable expansion, and a multithreaded TCP chat server/client.

    C

  4. Remote-Sensing-Applications-Data Remote-Sensing-Applications-Data Public

    2024 -Processed Landsat 8 and SPOT-4 time-series imagery to compute NDVI for vegetation health and seasonal analysis

    SQL

  5. Numerical-Optimization-Algorithms Numerical-Optimization-Algorithms Public

    Root-finding and optimization algorithms implemented in Python — Bisection, Newton's, Secant, Golden Section, Lagrange Multipliers, and Linear Programming validated against NumPy/SciPy.

    Jupyter Notebook

  6. Toronto-Real-Estate-Market-Analysis Toronto-Real-Estate-Market-Analysis Public

    Conducted linear and multiple regression analysis on Toronto real estate data, then built CPI regression models.

    Python