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Michael-Negash/README.md

Michael

Typing SVG

About

Software Engineer and Data Analyst focused on building scalable systems and extracting insight from complex data. I work at the intersection of full-stack development, data engineering, and analytics — turning raw data into products people actually use. Currently building OSZ Polls, a platform that aggregates U.S. polling data, models district-level election outcomes, and powers real-time geographic visualizations.

• Built 80% of the platform end-to-end, from front-end interfaces to back-end data pipelines
• Developed a Swingometer to simulate U.S. House election outcomes
• Designed district-level dashboards with live projections and trend analysis
• Integrated polling APIs to power real-time, map-based visualizations

🛠 Tech Stack ▼(Click To Expand)

Languages

Data & ML Libraries

BI & Analytics

Dev Environment & Tools

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

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  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. 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

  3. 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

  4. 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

  5. Python-polling-average-tracker Python-polling-average-tracker Public

    Python data pipeline that ingests raw polling data, computes rolling weighted averages, and visualizes real-time U.S. election & generic ballot trends with interactive charts.

    HTML

  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