Allen Tran
Principal Data Scientist
Santa Monica, California, United States
Summary
👤
Senior🎓
Top SchoolAllen Tran is a Principal Data Scientist in Santa Monica with 11 years of experience turning messy, high-volume data into actionable decisions for content and product teams. At Netflix he has driven content valuation, substitution measurement, and causal analyses that inform billions in content spend, after scaling analytics and product-focused ML at Hulu, Metromile, and startups. As co-founder and CTO of a legal-tech startup acquired in 2019, he built data products that converted arcane court documents into decision-grade signals for major law firms. His background in econometrics (PhD, UCLA) and early work at the Reserve Bank of Australia underpin a rigorous causal and statistical approach to real-world problems. Outside work he signals a playful practical streak—his GitHub bio hints that while the French bulldog naps, he’s the one tapping away at code and experiments.
11 years of coding experience
11 years of employment as a software developer
University of California, Los AngelesThe University of Melbourne
Github Skills (61)
missing-data10
pytorch10
python10
data-science10
machine-learning10
pca10
deep-learning10
tensorflow10
expressions9
in-progress9
probabilistic-programming9
statistical-inference9
statistics9
probabilistic9
probabilistic-models9
Programming languages (3)
Github contributions (5)
allentran/golds-rl-gym
Nov 2017 - Mar 2018
Cont. control RL algorithms and multi-agent environments
Contributions:115 commits, 20 PRs, 61 pushes in 4 months
agentreinforcement-learningoptimal-controlrl-algorithmstensorflow
allentran/allentran.github.io
Jan 2015 - Jun 2024
Contributions:40 pushes, 1 branch, 1 issue in 9 years 6 months
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