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Michael Negash

Michael Negash

Data Analyst - Data Analytics & Machine Learning

Talent
Toronto, OntarioMember since June 16, 2026
StataPythonSQLNumPySciPyLinear RegressionPower BIRegressionData Aggregation
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About

Engineered 90% Data Pipelines of OSZ Polls (oszpolls.com): Designed and maintained back-end data pipelines using Node.js to ingest, clean, and process real-time U.S. polling data across 435 congressional districts.

Predictive Modeling & Statistical Analysis: Trained an ML-powered voter model using LASSO regression on 2024 exit polls, generating a dataset of 60,000 synthetic voters to calculate probabilistic party-lean scores Data Simulation & Forecasting — Developed an interactive probability engine that simulates U.S. House election outcomes by analyzing dynamic variables including demographic turnout and party preference

Experience

Data Analyst (Data Analytics & Machine Learning) - OSZ Polls

(2025-01)

  • Engineered 90% Data Pipelines of OSZ Polls (oszpolls.com): Designed and maintained back-end data pipelines using Node.js to ingest, clean, and process real-time U.S. polling data across 435 congressional districts.
  • Predictive Modeling & Statistical Analysis: Trained an ML-powered voter model using LASSO regression on 2024 exit polls, generating a dataset of 60,000 synthetic voters to calculate probabilistic party-lean scores
  • Data Simulation & Forecasting — Developed an interactive probability engine that simulates U.S. House election outcomes by analyzing dynamic variables including demographic turnout and party preference
  • Data Aggregation & Reporting — Integrated third-party APIs to aggregate live polling data, transforming raw inputs into real-time geographic maps and projected vote share metrics
  • Dashboard Development: Built a district-level analytics dashboard featuring interactive visualizations tracking key metrics including polling averages, trend lines, and public sentiment shifts over time
  • Advanced Data Visualization: Mapped complex interaction deltas between demographic traits - race, age, and education -using a custom visualization engine to illustrate how multivariate factors jointly impact voting probabilities

Education

Honours Bachelor of Science (HBSc) - Economics - University of Toronto (2021-09 - 2025-05)

Skills

Data Analyst - Data Analytics & Machine Learning

Reviews

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