Summary
Joshua Weissbock is a sports analytics consultant and data scientist with 14 years of experience applying data mining, machine learning, and software skills to hockey prospect evaluation and decision support. He has consulted for NHL teams, player agencies, Hockey Canada and OHL clubs, and his research has been cited in academic workshops and prominent hockey analytics publications. Technically fluent in Python, SQL, PHP and web technologies, he built automated data pipelines and ML models for the Florida Panthers to improve scouting and player-development choices. Holding advanced degrees in computer science and pursuing a PhD in Data Science, he blends rigorous academic methods with practical, production-ready tooling. Notably, much of his work is publicly documented on well-known hockey analytics sites, demonstrating a commitment to reproducible, peer-referenced research.
14 years of coding experience
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at Carleton University
Masters of Computer Science, Data Mining, Machine Learning, Natural Language Processing, 4.0 GPA, Masters of Computer Science, Data Mining, Machine Learning, Natural Language Processing, 4.0 GPA at University of Ottawa
Bachelor of Science (B.Sc.), Computing Science, Bachelor of Science (B.Sc.), Computing Science at Simon Fraser University
English, French