Ethan Arsht
Data Scientist
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolEthan Arsht is a geospatial data scientist and policy-focused data professional with nine years of experience applying computational methods to social and political problems. Currently a Data Scientist at Enova and a recent MS candidate in Computational Applied Public Policy from the University of Chicago, he builds reproducible analyses and models that inform policy and campaign decisions. His background ranges from running Monte Carlo MCMC simulations to measure gerrymandering to extracting thousands of records from complex PDFs and layering census data to reveal eviction and foreclosure patterns. He has led data operations for European political campaigns—designing weighted pan‑European surveys, predictive voter models, and relational election databases—and trained staff across diverse contexts to adopt more targeted, data-driven tactics. Comfortable in Python and R, Ethan blends rigorous quantitative methods with clear storytelling to translate complex spatial analyses into actionable insights.
9 years of coding experience
2 years of employment as a software developer
Rowland Hall-St. MarksBachelor of Arts (B.A.), Near and Middle Eastern Studies, Bachelor of Arts (B.A.), Near and Middle Eastern Studies at The George Washington UniversityMaster of Science - MS, Public Policy Analysis, Master of Science - MS, Public Policy Analysis at University of Chicago
English, Arabic
Github Skills (10)
minecraft8
ubuntu7
chroot6
debian6
chrome5
shell5
linux5
chromeos5
chromium3
crouton2
Programming languages (5)
Github contributions (5)
ethanarsht/military_rankings
Jun 2017 - Dec 2017
Contributions:60 commits, 83 pushes, 1 branch in 6 months
ethanarsht/lakes-in-la
Nov 2023 - Apr 2024
A time series model for predicting evaporation in lakes.
Contributions:5 PRs, 7 pushes, 2 branches in 5 months
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