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Brendan Kumagai

Data Scientist

Professional Summary



Brendan Kumagai is a Data Scientist at Zelus Analytics, specializing in developing statistical and machine learning models for the Hockey Research & Development team. His professional journey reflects a strong passion for sports analytics and a foundation in data science and statistics.

Educational Background


  • Master of Science in Statistics from Simon Fraser University

  • Bachelor of Science in Mathematics and Statistics from McMaster University


Professional Experience



Zelus Analytics


  • Role: Data Scientist

  • Tenure: May 2022 - Present

  • Responsibilities: Developing advanced statistical and machine learning models specifically for hockey analytics.


Previous Roles


  • Hockey Data Science Intern at Stathletes

  • Teaching Assistant at Simon Fraser University

  • Sports Analyst Intern at Canadian Tire Financial Services

  • Customer Service Representative at the Toronto Zoo


Achievements


  • 2022 NFL Big Data Bowl: Part of the winning team

  • 2021 Stathletes' Big Data Cup: Part of the winning team

  • Big Data Derby: Winner of multiple competitions, including the inaugural contest, demonstrating exceptional skills in data science applications in sports.


Notable Projects and Research


  • Visual Neuroscience Research: Contributed to advanced research in the field.

  • Predicting the NHL Draft: Developed a Bayesian rank-ordered logit model for predicting draft outcomes, published on ResearchGate.


Additional Information





Brendan Kumagai's robust background in data science, combined with his significant achievements in sports analytics, marks him as a valuable asset to Zelus Analytics. His work has not only contributed to the development of advanced hockey analytics models but has also set benchmarks in various data competitions, highlighting his capability and expertise in the field.

By leveraging his detailed-oriented nature and passion for sports analytics, Brendan is positioned to drive further innovation and success within the company.