Brian Bader
Data Science Engineer
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolBrian Bader is a Data Science Engineer with a PhD in Statistics and a decade of experience building production-grade machine learning and statistical models across sports betting, observability, and financial services. He has driven real-time model deployment at Simplebet, growth-oriented ML for go-to-market teams at Datadog, and now applies his expertise at DraftKings in the New York metro area. Proficient in Python and SQL and familiar with large language models, he combines rigorous academic training with hands-on production engineering. An uncommon strength is his background in simulation-based modeling from financial services work, which he leverages to design robust, uncertainty-aware solutions for fast-moving product environments.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at University of ConnecticutMaster of Arts (M.A.) Statistics, Master of Arts (M.A.) Statistics at Columbia UniversityBachelor of Science (B.S.) Mathematics, Bachelor of Science (B.S.) Mathematics at Stony Brook University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
goodness-of-fit9
spacing8
sampling7
methodology6
testing5
parameter-estimation5
data-generation5
relational2
database2
Programming languages (2)
Github contributions (5)
brianbader/eva_package
Oct 2018 - Apr 2020
This package implements the methodology developed in my PhD research, including the publication(s) listed here. Goodness-of-fit testing for extreme value models, maximum product spacing estimation, data generation for the GEVr model, profile likelihood, etc.
Contributions:2 commits, 1 PR, 73 pushes in 1 year 6 months
maximumgoodness-of-fitextremetestingfit
brianbader/fantasylineup
Oct 2015 - Oct 2017
Contributions:16 pushes, 1 branch, 4 comments in 2 years
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