Van Paridon
Data Scientist, Performance Optimization & Insights
Madison, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolVan Paridon is a data scientist specializing in performance optimization and insights for basketball at Sportradar’s Synergy Sports, where he builds hierarchical Bayesian, Gaussian Process, and ML models to inform scouting, roster decisions, and strategy from high school to the NBA/WNBA. With a PhD in cognitive science and linguistics, he brings nine years of experience modeling variability in human behavior and has a track record of shipping production analytics like Team Adjusted Statistics, Transfer Portal Analytics, and Player Impact leaderboards. He also manages the team’s cloud infrastructure, optimizing data pipelines for cost, latency, and reliability, and maintains open-source tools used in multiple-membership and embedding research. Comfortable bridging academic rigor and product delivery, he blends experimental design, NLP/ML modifications, and reproducible software engineering to translate complex behavioral models into actionable sports insights.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Science, Doctor of Philosophy - PhD, Cognitive Science at Radboud UniversityMaster of Science by Research (M.Sc. Res.), Cognitive Neuroscience, Master of Science by Research (M.Sc. Res.), Cognitive Neuroscience at Leiden University
English, Dutch
Stackoverflow
21reputation
94reached
1answer
0questions
Github Skills (60)
bayesian-statistics10
random-effects10
variational-inference10
probabilistic-programming10
python10
lme410
machine-learning10
statistical-inference10
mcmc10
bayesian10
probabilistic-models10
probabilistic10
bayesian-inference10
modeling10
bambi8
Programming languages (4)
Github contributions (5)
jvparidon/tamil-test-suite
Oct 2018 - Sep 2020
Contributions:3 releases, 27 pushes, 1 branch in 1 year 10 months
jvparidon/utensilities
Mar 2018 - Oct 2022
Contributions:14 pushes, 1 branch in 4 years 8 months
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