Jeremy Watkins
Data Scientist, Machine Learning
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJeremy Watkins is a data scientist and machine learning specialist with nine years of experience building and scaling Big Data/ML products to improve patient outcomes at Komodo Health. He combines production-grade PySpark and cloud experience with deep ML expertise (GBMs, TensorFlow/Keras, LSTM time-series) and a track record of shaving model error and training time in healthcare settings. Previously he improved verification throughput as a graphics engineer at Intel and delivered fast influenza and creatinine prediction models at Kaiser Permanente, showing a practical focus on performance and reproducibility. Comfortable across R and Python stacks, visualization, optimization, and deployment (Shiny/Dash, Snowflake, S3), he regularly uses PySpark in daily work and ranks in the top 2% on Kaggle. Based in San Francisco, he pairs electrical engineering and financial math training with a pragmatic drive to turn messy clinical data into actionable, scalable solutions.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at University of California, DavisMaster's degree, Financial Mathematics, Master's degree, Financial Mathematics at University of California, Los Angeles
English, GermanGithub contributions (5)
Jeremy123W/Numerai
Feb 2017 - Sep 2018
Contributions:7 commits, 5 pushes, 1 branch in 1 year 7 months
Jeremy123W/MotoLease-Finance-Project
Jan 2019 - Jan 2021
Contributions:2 pushes, 1 branch in 2 years 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.