Philip Geurin
Data Analysis Instructor - UC Davis
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolPhilip Geurin is a data scientist and instructor with 10 years of experience building forecasting, recommendation, and simulation systems and currently teaching Data Analytics at UC Davis. He has twice received NSF funding to simulate deterministic games and stock-market dynamics using GLMs and genetic algorithms, work that produced publishable results and major runtime optimizations. Philip has led data teams and prevented multimillion-dollar revenue losses through dashboards, ETL pipelines, and model-driven interventions at logistics and enterprise clients, and he scaled forecasting at Uber across tens of thousands of time series. He combines hands-on engineering—writing backtesters, unit-tested rollup ETLs, and a calendar app—with curriculum leadership that measurably improved student outcomes and instructor retention. Based in Seattle, he brings a rare blend of academic rigor, production-grade tooling, and practical communication skills honed advising medical and executive teams.
10 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Double Major: Physics Media Engineering, Bachelor’s Degree Double Major: Physics Media Engineering at Pitzer College
English, Spanish
Github Skills (24)
graph7
audio7
cli7
pause6
music5
cpp5
volumes5
objective-c4
macos4
background-music3
anova2
statistics2
science2
svd2
python1
Programming languages (3)
Github contributions (5)
pgeurin/autoregression
Apr 2018 - Aug 2022
Clean, graph, and model your data in one command.
Contributions:220 commits, 23 PRs, 76 pushes in 4 years 4 months
datacleangraphcli
pgeurin/AsciiConnectFour
Oct 2015 - May 2018
Contributions:64 pushes, 1 branch in 2 years 8 months
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