Jonathan Hull
Political Data Scientist
San Carlos, California, United States
Summary
👤
Senior🎓
Top SchoolJonathan Hull is a Political Data Scientist with 11 years of experience applying machine learning, statistical methods, and production-ready software to public policy, healthcare, and political campaigns. He designs end-to-end analytics and volunteer-facing systems—everything from near real-time call-tracking platforms that supported over 1.1 million calls in 2020 to map-based voter interfaces that enabled 330 volunteers to reach 90,000 voters in a single county recall. Comfortable moving between research-grade prototypes and operational tooling, he combines a PhD-level computer science background with hands-on Python, C, and data engineering work to turn messy voter and healthcare data into actionable decisions. Notably, he has repeatedly built lightweight automation and visualizations that amplified grassroots engagement (e.g., QR-mapped ballot-drop resources and daily-updated precinct MyMaps) and has led technical operations during high-intensity campaign tails. Based in San Carlos, CA, he blends academic rigor with pragmatic solutions that scale volunteer efforts and inform policy-focused clients.
11 years of coding experience
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University at Buffalo
Stackoverflow
1reputation
761reached
1answer
2questions
Github Skills (35)
cox-regression8
jupyter-notebook8
jupyter7
notebook7
unsupervised-learning7
supervised-learning6
survival-analysis6
machine-learning6
jupyterlab6
python6
jasperserver6
git6
javascript6
unreal-engine-46
leaflet6
Programming languages (4)
Github contributions (5)
JonathanJHull/forest-cover-type
Jul 2017 - Feb 2018
Contributions:32 commits, 31 pushes, 1 branch in 6 months
JonathanJHull/dbt-tutorial-course
Jul 2023 - Jul 2023
DBT course 071723
Contributions:2 PRs, 5 pushes, 2 branches in 2 days
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