Alexandre Day
Director Data Science
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolAlexandre Day is a Director of Data Science with a decade of experience building and operationalizing ML products at scale, currently leading entity-matching and generative AI initiatives at Capital One to improve experiences for millions of customers. He combines a strong research pedigree—a PhD in Physics from Boston University focused on ML, reinforcement learning and high-performance computing—with hands-on production expertise from roles at Afiniti where he engineered large-scale ML and database systems. Alexandre is comfortable spanning modeling, engineering and product, including training transformer-based models from scratch on internal data and deploying mission-critical services. Known for translating deep technical ideas into business impact, he brings uncommon fluency in C/C++ and Python alongside experience in algorithm design and HPC workflows.
10 years of coding experience
6 years of employment as a software developer
Master of Science (MSc), Physics, Master of Science (MSc), Physics at University of WaterlooBachelor's degree, Physics, Bachelor's degree, Physics at Université de SherbrookeDoctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Boston University
English, French
Github Skills (24)
python-codes10
statistical-physics8
typescript8
visual-studio-code8
microsoft7
electron7
intellisense7
editor7
pylint7
vscode6
machine-learning6
testing6
tsne5
python5
fourier-transform5
Programming languages (5)
Github contributions (5)
alexandreday/machine_learning_review
Jan 2017 - Feb 2018
Contains python codes/notebooks for a machine learning review
Contributions:39 commits, 1 PR, 31 pushes in 1 year
machine-learningpython-codesstatistical-physics
mgbukov/dynamicQL
Oct 2016 - Oct 2017
Contributions:269 commits, 197 pushes, 1 comment in 1 year
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