Derek Grubis
Associate Data Scientist, Basketball Data Strategy
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolDerek Grubis is an Associate Data Scientist specializing in production-scale ML with eight years’ experience building and deploying models across marketing and basketball analytics. He engineers statistical systems in Go and Python—spanning Bayesian contextual bandits, hierarchical mixture models, GBMs and computer vision pipelines—and ships them as RESTful APIs and Dockerized services on GCP/AWS. At Lytics he owned heavy statistical code powering personalization for major brands, and at the Los Angeles Lakers he applies those techniques to player evaluation, advising front offices and athletes. He pairs backend model engineering with front-end React/TypeScript visualizations, enabling stakeholders to explore model-driven insights. Derek’s academic work includes a Northeastern thesis extracting player tracking from broadcast video, a practical blend of pose estimation, homography and clustering that hints at his aptitude turning research into operational products.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at Northeastern UniversityMathematics, Mathematics at University of Massachusetts Amherst
English
Github Skills (3)
api2
vector1
golang1
Programming languages (2)
Github contributions (5)
nalin1096/DS5500_Player_Tracking_and_Identification_NBA
Oct 2020 - Dec 2020
Contributions:18 commits, 21 pushes in 1 month
dgrubis/dgrubis.github.io
Nov 2019 - Dec 2019
Contributions:34 pushes, 1 branch in 19 days
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