Hamza Khan
Principal Data Scientist
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolHamza Khan is a Principal Data Scientist with over a decade of experience applying advanced statistical modelling, distributed computing and infrastructure engineering to credit risk, valuations and genomic analysis. Currently at Capital One Toronto, he builds and optimizes production model pipelines, automates workflows, and scales data platforms using Snowflake and parallel processing to drive cost efficiency and robust monitoring. His background in bioinformatics and genome assembly (UBC, Michael Smith Genome Sciences Centre, OICR) gives him a rare cross-domain expertise in processing noisy high-throughput data and designing reproducible, high-performance pipelines. He has a track record of accelerating compute-heavy workflows—from NGS assembly to large-scale credit valuation—while maintaining rigorous validation and model governance. Colleagues rely on him for bridging research-grade algorithms and enterprise-grade production systems.
12 years of coding experience
4 years of employment as a software developer
Master’s Degree Bioinformatics, Master’s Degree Bioinformatics at The University of British ColumbiaBachelor of Technology (B.Tech.) Bioinformatics, Bachelor of Technology (B.Tech.) Bioinformatics at Vellore Institute of TechnologyHigh-School and Intermediate Physics Chemistry Biology, High-School and Intermediate Physics Chemistry Biology at La Martiniere College,Lucknow
English, Hindi, German, uru
Github Skills (6)
bioinformatics5
python4
visualization3
biodiversity3
biology2
sbml2
Programming languages (2)
Github contributions (5)
simpsonlab/preqclr
Oct 2017 - May 2018
Contributions:25 commits, 15 pushes, 1 branch in 7 months
bcgsc/ChopStitch
Aug 2016 - Nov 2018
Contributions:23 commits, 7 pushes, 13 comments in 2 years 2 months
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