The Data Science and Engineering Team at ShotQuality leverages advanced analytics and machine learning techniques to evaluate shot quality metrics for basketball teams. This multi-disciplinary team combines expertise in data modeling, computer vision, and statistical analysis to refine algorithms that assess over 90 variables influencing shot outcomes. By transforming raw game data into actionable insights, they enable teams like Auburn and Stanford to enhance their strategies and performance.
Bennett Corcoran
Senior Data Modeling Lead
Daniel Galper
Data Science Intern
Ethan C.
Senior Data Scientist
Eugene Tulyagijja
Data Science Intern
Francisco Gómez-Fern...
Computer Vision Engineer
Greg Yannett
Data Scientist
Justin Lipitz
Data Analyst Intern
Leonardo L.
Computer Vision Engineer
Rafael Padilla
Computer Vision Researcher
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