Evan Case
Machine Learning Scientist at Netflix
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolEvan Case is a Staff Data Scientist based in Berkeley with nine years of experience building machine learning and analytics products that inform business decisions and optimize operations. He has led data initiatives at consumer-facing companies like Calm and Eaze—driving experimentation, LTV-driven marketing optimization, forecasting for inventory and staffing, and analytics for operational efficiency—and now applies that product-oriented approach at Recentive Analytics. His background includes energy-efficiency ML at Veolia and early data roles at RadiumOne, giving him cross-domain fluency in experimentation, forecasting, and applied optimization. Unusually for a data scientist, he also spent time as an independent musician and producer, amassing over 30 million streams, which informs a creative, metric-driven perspective on user engagement and product growth.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Arts (B.A.), Economics, Philosophy, Bachelor of Arts (B.A.), Economics, Philosophy at Oberlin College
Stackoverflow
105reputation
2kreached
4answers
1question
Github Skills (15)
causal-inference9
econometrics9
causality9
python8
data-science7
hyperparameter-optimization7
plotly-dash6
nginx6
seaborn6
machine-learning6
plot6
ai6
twisted6
mysql6
flask6
Programming languages (2)
Github contributions (5)
iamlostcoast/solar-calculator-models
May 2017 - Jul 2020
Contributions:10 commits, 9 pushes, 1 branch in 3 years 2 months
iamlostcoast/intro-to-algorithms
Aug 2017 - Sep 2017
Contributions:7 pushes, 1 branch in 1 month
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