Benjamin Fattori
Senior Data Scientist
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolBenjamin Fattori is a Senior Data Scientist based in Old Toronto with seven years of experience applying high-performance computing and deep learning to real-world problems. He holds an MSc in Scientific and Data Intensive Computing (Distinction) from UCL and an HBSc in Mathematics and Physics from the University of Toronto, blending strong theoretical foundations with practical engineering. At RiskLab he improved a portfolio optimization model by 32% versus a random forest benchmark and has since progressed through Deloitte to a senior role at Sibli, driving production-ready ML solutions. He builds automated feature pipelines and leverages EDA-driven feature engineering to turn research ideas into measurable performance gains. An avid tinkerer on GitHub who describes his work as “a bit of this and that,” he brings curiosity and breadth—equally comfortable with mathematical modeling, HPC workflows, and deploying deep learning systems.
7 years of coding experience
4 years of employment as a software developer
Honours Bachelor of Science - HBSc., Mathematics Specialist, Physics Major, Distinction, Honours Bachelor of Science - HBSc., Mathematics Specialist, Physics Major, Distinction at University of TorontoUniversity College London
Github Skills (35)
markdown10
evaluation10
gitpod10
github-pages10
jekyll10
transformer10
evaluation-framework10
nlp10
pytorch9
large-language-models9
machine-learning9
language-model9
natural-language-processing9
tensorflow9
deep-learning9
Programming languages (4)
Github contributions (5)
fattorib/fattorib.github.io
Jan 2021 - Dec 2024
Website
Contributions:2 PRs, 64 pushes, 1 branch in 4 years
templategithub-pages-templatemmistakesmistakesjekyll
fattorib/Little-GPT
Jul 2022 - Oct 2022
GPT* - Training faster small transformers using ALiBi, Parallel Residual Connections and more!
Contributions:79 commits, 2 PRs, 55 pushes in 3 months
pytorchnlptransformersparalleldeep-learning
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