Asaf Hanish
Senior Data Scientist
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolAsaf Hanish is a Senior Data Scientist with nearly a decade of hands-on experience applying Python and machine learning to complex healthcare data at Penn Medicine. He designs and deploys predictive classifiers—such as Random Forest models for readmission risk and oncology cohort stratification—and builds end-to-end data pipelines that query, transform, predict, and communicate results to clinical teams. Comfortable with advanced statistical methods and LLMs (including GPT-4) for extracting insights from text, he bridges technical implementation with clinical and business needs. Trained in epidemiology (MPH) and microbiology, he brings a strong study-design and biostatistics mindset to production ML, ensuring models are both scientifically grounded and operationally useful.
9 years of coding experience
7 years of employment as a software developer
Master of Public Health - MPH, Epidemiology, Master of Public Health - MPH, Epidemiology at University of Pittsburgh
Stackoverflow
2,029reputation
463kreached
0answers
2questions
Github Skills (8)
medicine8
bayesian7
pandas6
indexing6
mongodb6
timedelta6
python6
bayesian-inference5
Programming languages (2)
Github contributions (4)
Hanisha13/kaggle_stuff
May 2017 - May 2017
Contributions:1 push, 1 branch in 1 day
pennsignals/bayes-chime
Apr 2020 - Apr 2020
Bayesian fit to SEIR model. An extension to Penn Medicine's CHIME tool.
Contributions:9 commits, 5 PRs, 4 pushes in 21 days
chimebayesian-inferencefitpennseir-model
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