Summary
Charlie Yu is a Senior Data Scientist based in Canada with nine years of experience specializing in telematics and safety analytics, currently leading production ML efforts at Geotab. He combines rigorous academic training—an MS in Applied Computing (Data Science) from University of Toronto and a 4.0 BMath from University of Waterloo—with hands-on roles across data engineering, teaching, and product-facing data science. Charlie has a track record of moving models from research into production in fleet telematics, and his background includes building tooling and instructional materials as a course instructor and TA, which sharpens his ability to communicate complex models to non-technical stakeholders. Pragmatic and detail-oriented, he bridges statistical rigor and scalable engineering practices to improve safety outcomes and operational decision-making.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Applied Computing (Data Science), 3.94/4.0, Master of Science - MS, Applied Computing (Data Science), 3.94/4.0 at University of Toronto
Honours Bachelor of Mathematics, Data Science, 4.0/4.0, Honours Bachelor of Mathematics, Data Science, 4.0/4.0 at University of Waterloo
English, Chinese, Chinese