Jack Ellis
Data Scientist
Canada
Summary
👤
Senior🎓
Top SchoolJack Ellis is a Data Scientist with eight years of hands-on experience building ML solutions from research prototypes to production pipelines, currently working at Geotab on telematics-driven collision detection. With a strong foundation in Applied Mathematics and an MScAC from University of Toronto, he blends rigorous modeling skills and software engineering fluency in Python and Java to deliver practical, data-driven systems. Past roles include applying VAEs for generative design at Looka and leading student teams to develop object detection and autonomous path-planning projects, demonstrating both technical depth and mentorship ability. He is motivated by bringing people together and translating complex ML research into usable products, with a track record of creating educational modules and leading cross-functional efforts. A Canadian-based practitioner, he favors high-frequency data challenges and safety-focused applications that impact real-world mobility.
8 years of coding experience
3 years of employment as a software developer
Master of Science in Applied Computing- MScAC, Master of Science in Applied Computing- MScAC at University of TorontoBachelor of Applied Science - BASc, Applied Mathematics, Bachelor of Applied Science - BASc, Applied Mathematics at Queen's UniversityProgramming languages (2)
Github contributions (5)
jackellis98/pytorch-small-dataset-image-generation
May 2019 - May 2019
Contributions:4 pushes in 6 days
QMIND-Team/Mars-Rover
Nov 2018 - Mar 2019
Contributions:4 commits, 4 pushes, 1 branch in 3 months
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