Matthew Van Bommel is a Senior Machine Learning Engineer with a decade of experience turning sports data into actionable intelligence, having served in basketball analytics roles with the Philadelphia 76ers and Sacramento Kings before co-founding and leading ML work at Zelus Analytics. Now at Teamworks following Zelus’s acquisition, he specializes in full-stack data science—building tools and pipelines that make complex models accessible to coaches and stakeholders. He holds an MSc in Statistics from Simon Fraser and a BSc in Mathematics and Statistics from Acadia, grounding his applied work in strong probabilistic and inferential foundations. Known for bridging research and production, he focuses on pragmatic systems that deliver impact in high-pressure, performance-driven environments. An often-overlooked strength is his experience translating domain-specific basketball insights into reusable analytics products that scale beyond a single team.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BSc), Mathematics and Statistics, Bachelor of Science (BSc), Mathematics and Statistics at Acadia University
Master of Science (MSc), Statistics, Master of Science (MSc), Statistics at Simon Fraser University
Template Shiny app for ArcGIS REST API data, implemented here to explore Sacramento open data
Contributions:2 PRs, 57 pushes, 3 branches in 9 months
apidata-apiarcgisexploreshiny-app
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Matthew Van Bommel - Senior Machine Learning Engineer at Teamworks