Data science expert with 20 years of experience leading machine learning teams at a highly diverse group of companies, from seed-stage startups to Fortune 500 oil & gas companies, as well as investment banks.

Successful projects range from residential & commercial real-estate pricing, site selection and GIS analytics, oil & gas preventive maintenance and production scheduling, ad-targeting and lookalike audience modeling, preference modeling with automated recommendations, fraud detection, churn prevention, website profitability optimization, as well as financial/stock-market time series prediction and trading.

Comfortable and experienced in a wide variety of machine learning techniques, including deep learning, NLP and transfer learning.

Conducted research for both the DOD and the DOE at Los Alamos National Laboratory, as well as hobby projects (e.g. achieved a Netflix Prize ranking of 230 out of 25,000+ competitors).