Peter Tea
petertea.netlify.app · 335 words · saved by 1 readers
Data Scientist
About me Hello! My name is Peter and I’m a tennis data scientist at Sports Media Tech. I received my Master’s in Statistics at SFU, where I applied Bayesian models predicting tennis serve direction using tracking data from Roland Garros. This project was supervised by Tim Swartz. I’ve interned at Aquatic Informatics applying anomaly detection algorithms and at the Canada Revenue Agency studying tax-evasion. I’ve also been an R consultant running programming workshops at SFU Research Commons, and a Statistical Genetics researcher with Kelly Burkett. You can find my recent tennis analytic…
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