Summary
Hannah Lewis is a Senior Data Scientist with nine years of experience applying machine learning and statistical modeling to high-stakes scientific, government, and commercial problems. She has led end-to-end AI pipelines—from research and feature engineering to deployment—across domains including radio frequency signal analysis, federal fraud detection, and large-scale astronomical data delivery for NASA missions. Comfortable working cross-functionally, she has managed teams, partnered with institutions like MIT and NASA Ames, and translated complex datasets into reliable production systems. Her background as a PhD astronomer informs a strong foundation in probabilistic methods and reproducible research, and she has a track record of building open, user-friendly tools and notebooks to broaden access to mission data. Based in Baltimore, Hannah combines rigorous academic training with practical deployment experience, and she uniquely bridges signal-processing expertise with cloud-native data engineering.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Arts - BA, Physics, Bachelor of Arts - BA, Physics at St. Mary's College of Maryland
Doctor of Philosophy - PhD, Astronomy, Doctor of Philosophy - PhD, Astronomy at University of Virginia