Connor Reed is a data-focused SQL developer and sports analytics specialist with a decade of experience building statistical models and database architectures for professional sports organizations. Currently at the NHL, he combines domain expertise in hockey and baseball with production SQL pipelines to generate actionable metrics and maintain proprietary data systems. His work includes co-creating FourthLineHeroes’ shot-quality and goalie-performance metrics (an abstract accepted to the Sloan Sports Conference) and developing successful DFS modeling and feature engineering that helped his team achieve top rankings on RotoGrinders. Comfortable moving between research, visualization, and productionization, he writes scripts to keep models and databases current while validating novel features through rigorous testing. Based in California and grounded in a McGill education, he brings a rare blend of sports intuition and repeatable, production-grade analytics execution.
10 years of coding experience
3 years of employment as a software developer
University of California Santa Cruz
Cabrillo College
Bachelor’s Degree, Bachelor’s Degree at McGill University
Contributions:675 commits, 709 pushes, 1 branch in 6 years 1 month
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