Collaborated with a team of analysts on various data-driven sports research projects related to UNC athletics teams.

Oversaw a team of 25 analysts who contributed data-driven research projects for the UNC Baseball Team. Our projects developed better evaluations of the team's hitters and pitchers and aided in scouting upcoming opponents.Provided feedback on other analysts' data science projects, helping to bring out the best statistical insights for the players and coaches.Met regularly with the coaching staff to coordinate research goals with the goals of the team.

Operated the team's TrackMan system and recorded high-speed video of players during UNC practices and games. Completed advance video-scouting of UNC opponents by creating spray charts and hot/cold zones for hitters and reporting pitch mix and velocities for pitchers.

Built data-driven player reports for pitchers based on their performance throughout the season.Created graphics and analysis in R to illustrate player strengths and trends in pitch usage and location that have led to in-game success.

Reviewed video of major and minor league baseball games to measure various aspects of pitchers' deliveries.Tracked the times of pitchers' first moves, release points, and times to the plate using Inside Edge software.

Operated the TrackMan radar system during select home games for the Tampa Bay Rays AAA minor-league affiliate in Durham, North Carolina. In-game duties included tagging play-by-play data, tracking player substitutions, and managing software errors.Explored questions related to on-field strategy and player acquisition, taking game theory and player statistics into account.

Operated the TrackMan system during various USA Baseball events held at the organization's training complex. Ensured games ran smoothly by grabbing game lineups from coaches and assisting game officials with rules-related questions.Events worked included amateur tournaments, college national team games, and amateur athlete development scrimmages.