Brendan Kolisnik
Applied Scientist II at Amazon
Canada
Summary
👤
Senior🎓
Top SchoolBrendan Kolisnik is an applied scientist with nine years of experience building production machine learning systems at the intersection of finance, ads, and ranking, currently on the Bid Recommendations team for Sponsored Products at Amazon Ads. He holds an MScAC in Data Science from University of Toronto and a strong math foundation that informs causal inference and forecasting work used across equities, bonds, and mortgage products. At TD he delivered real-time neural models and production Java pipelines that materially increased trading P&L and reduced quote errors, and he led an award-winning explainable ensemble that generated multimillion-dollar operational savings. Brendan combines research rigor—evidenced by MITACS-funded work on document understanding—with hands-on engineering, from feature engineering and Bayesian hyperparameter tuning to low-latency system integration. He’s especially interested in ranking, ads, finance, and NLP, and has a track record of turning novel model ideas (attention mechanisms, causal models) into measurable business impact.
9 years of coding experience
2 years of employment as a software developer
MSc in Applied Computing (MScAC), Data Science, (CGPA) 4.0/4.0, MSc in Applied Computing (MScAC), Data Science, (CGPA) 4.0/4.0 at University of TorontoHonours Bachelor’s Degree, Computer Science (Computing and Mathematics), (CGPA) 4.06/4.30, Honours Bachelor’s Degree, Computer Science (Computing and Mathematics), (CGPA) 4.06/4.30 at Queen's University
Github Skills (3)
python2
dashboard2
react1
Programming languages (3)
Github contributions (5)
bKolisnik/Condition-CNN
Mar 2020 - Sep 2021
Contributions:246 commits in 1 year 6 months
bKolisnik/bKolisnik.github.io
May 2018 - Dec 2019
Contributions:5 pushes, 1 branch in 1 year 7 months
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