ShotQuality
Daniel Galper is currently an NFL Analyst at PFF and a Data Analytics Intern for the University of Michigan Men's Soccer team, where Daniel provides detailed performance reports utilizing advanced analytics. In addition, Daniel serves as a Data Science Intern at ShotQuality, developing predictive models for college basketball and enhancing social media engagement through innovative applications. As a Project Manager and Data Analyst at Reach Consulting Group, Daniel led a team to ensure client satisfaction and validated simulations for a board game based on the NCAA March Madness Tournament. Daniel co-founded a sports camp, creating mentorship opportunities between high school varsity athletes and younger participants, and has demonstrated leadership skills as a Senior Counselor at Camp Ramah. Daniel is pursuing a Bachelor of Science in Information Analysis at the University of Michigan.
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ShotQuality
The goal of ShotQuality is to dispel the luck of the game and deliver the expected results based on the accuracy of each shot’s quality, rather than just make or miss. There are over 90 different variables involved in calculating ShotQuality. Overall, we have over 60 NCAA D-1 teams subscribed including the likes of Auburn, Arizona, and StanfordUniversity