Kensen Tan

Data Scientist

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Kensen Tan is a data scientist based in the San Francisco Bay Area with 7 years of hands-on experience building end-to-end analytics and ML solutions and a total of 15 years of professional experience. He has applied data-driven product thinking across tech and insurance domains at Lyft, Facebook, Cover, Vroom, and Farmers Insurance, moving models from prototype to production. Kensen holds dual MS degrees in Computer Science and Analytics from Georgia Tech and a BA in Statistics from UC Berkeley, blending strong statistical foundations with scalable engineering. He’s comfortable across the full stack of data work—feature engineering, causal analysis, model deployment, and product metrics—and has mentored students as a graduate teaching assistant. Known for translating ambiguous business problems into measurable experiments, he thrives in fast-paced product teams where delivering impact quickly matters. Outside core roles he repeatedly intersects research-grade methods with production constraints, making sophisticated techniques pragmatic for stakeholders.
code15 years of coding experience
job5 years of employment as a software developer
bookBachelor of Arts - BA, Statistics, Bachelor of Arts - BA, Statistics at University of California, Berkeley
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
languagesEnglish, Chinese, Chinese
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Stackoverflow

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Github Skills (20)

social-share8
uwp7
android7
react7
ios6
react-native6
archived4
emoji4
emoticons4
facebook4
viewer4
photo-browser3
instagram3
photo3
browser2

Programming languages (6)

TypeScriptJavaJavaScriptObjective-CPHPPython

Github contributions (5)

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kensenjohn/YoutubeDownloader

Apr 2011 - Aug 2015

Contributions:3 commits, 1 push in 4 years 4 months
kensenjohn/PayRollPlanet

Aug 2015 - Sep 2015

Contributions:7 pushes, 1 branch in 4 days
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Kensen Tan - Data Scientist