Bat Sukhbaatar

Quantitative Researcher

Fort Lauderdale, Florida, United States
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Summary

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Senior
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Top School
Bat Sukhbaatar is a quantitative researcher with nine years of applied data science experience, currently building models at a proprietary trading firm after roles at Selector and FanAI. A UCLA Statistics graduate and active Kaggle competitor, he blends rigorous statistical foundations with practical machine-learning—ensemble methods, non-linear transforms, and careful cross-validation are core strengths. He has a track record translating messy SQL and multi-format datasets into actionable analytics for startups, healthcare, law enforcement, and entertainment clients. Known for pairing disciplined model validation with effective team communication, he also brings an unusually product-minded focus for a researcher, aiming to turn experiments into deployable, business-impacting systems.
code9 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science, Statistics, 3.65, Bachelor of Science, Statistics, 3.65 at University of California, Los Angeles
languagesEnglish, Mongolian
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Github contributions (1)

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batmanLA/modeling

Oct 2016 - Aug 2017

Contributions:103 commits, 103 pushes, 3 branches in 9 months
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Bat Sukhbaatar - Quantitative Researcher