Summary
Dani Chu is a Senior Quantitative Analyst with a decade of analytics experience, currently applying advanced statistical and machine learning techniques to hockey performance and operations at the Seattle Kraken. With an MS in Statistics from Simon Fraser University and dual undergraduate training in mathematics, computer science, and statistics, Dani blends rigorous quantitative foundations with practical industry experience across the NBA, NFL, and professional retail analytics. He has a track record of turning research into tools and publications—having developed a Bayesian Kelly Criterion and an R Shiny app during NSERC-funded research—and has interned on basketball strategy analytics at the NBA. As a coach and mentor, Dani leverages on-court insights from youth and provincial programs to inform his sports-analytics modeling and communication. Colocated in Coquitlam, BC, he pairs data-driven model development with clear operational impact in sports settings, from game strategy to player development. Outside work, his hands-on coaching background and academic research give him a rare ability to translate complex models into actionable advice for coaches and decision-makers.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Math and Computer Science, Bachelor of Science - BS, Math and Computer Science at San Diego State University
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Simon Fraser University
English, French