Michoel Snow
Director Of Data & Analytics
New York, New York, United States
Summary
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Senior🎓
Top SchoolMichoel Snow is a Director of Data & Analytics with nine years of experience applying machine learning and statistical modeling to healthcare and consumer businesses, currently leading data efforts at FilterEasy. He combines an MD/PhD background with hands-on expertise in Python, deep learning frameworks, and production data engineering, translating clinical and product insights into actionable models that improve outcomes. Previously he led data science and ML teams at BARK and drove healthcare bioinformatics research and instruction at Albert Einstein/Montefiore, giving him a rare blend of academic rigor and product-focused delivery. Known for connecting ideas across biology, clinical practice, and software, he excels at cleaning complex data, designing robust pipelines, and communicating technical results to diverse stakeholders. His work emphasizes pragmatic model deployment and interdisciplinary innovation that bridges patient care and business impact.
9 years of coding experience
8 years of employment as a software developer
MD PhD, MD PhD at Albert Einstein College of MedicineBachelor's Degree Biological/Biosystems Engineering, Bachelor's Degree Biological/Biosystems Engineering at Cornell University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (22)
pytorch9
python9
machine-learning9
gpu9
deep-learning9
fastai9
pip8
nbdev8
virtualenv8
packaging8
data-dictionary8
python-development8
pipfile7
aggregate7
metadata7
Programming languages (4)
Github contributions (5)
MichoelSnow/data_science
Mar 2018 - Sep 2020
Contributions:5 PRs, 68 pushes, 2 branches in 2 years 6 months
MichoelSnow/bgg
Oct 2018 - Jan 2024
Contributions:7 PRs, 18 pushes, 4 branches in 5 years 4 months
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