Jan Overgoor

Staff Data Scientist

Berkeley, California, United States
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Summary

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Jan Overgoor is a Staff Data Scientist based in Berkeley with a decade of experience building ML-driven products, analytics infrastructure, and data teams across startups and public interest organizations. He combines deep academic training (PhD in Computational Social Science from Stanford) with hands-on product work at Airbnb, SPAN, and Facebook, tackling problems from ranking and personalization to anomaly detection and battery modeling. He advises tech companies and nonprofits part-time, helping design data pipelines, internal tools, and hiring processes for organizations including Redfin, HipCamp, and USDR. Comfortable switching between research, engineering, and management, he has led teams of data professionals and run data programs for government and nonprofit clients. A thoughtful quantitative researcher, he brings expertise in social-network and causal analysis that often surfaces in practical product and policy work.
code11 years of coding experience
job8 years of employment as a software developer
bookBsc Artificial Intelligence, Bsc Artificial Intelligence at University of Amsterdam
bookGymnasium Natuur & Gezondheid, Gymnasium Natuur & Gezondheid at Ignatius Gymnasium
bookDoctor of Philosophy - PhD MS&E (Computational Social Science), Doctor of Philosophy - PhD MS&E (Computational Social Science) at Stanford University
languagesEnglish, Dutch
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Stackoverflow

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212reached
0answers
1question
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Github Skills (35)

hint10
deepar10
forecasting10
sql10
linter10
forecast10
pypi10
pytorch9
machine-learning9
time-series9
transformer8
querying8
deep-learning8
meta-analysis8
graph8

Programming languages (8)

TypeScriptJavaRCScalaJavaScriptHTMLPython

Github contributions (5)

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5harad/openpolicing

Jun 2017 - May 2018

The Stanford Open Policing Project - https://openpolicing.stanford.edu
Contributions:25 commits, 14 PRs, 17 pushes in 11 months
stanfordanalysispolicingnetwork-analysisedu
Tools and analysis for historical data from UNIVAF.
Contributions:1 review, 18 commits, 1 PR in 8 months
pythonatsmeta-analysishistoricalhistorical-data
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