The Rockefeller Foundation
James Diotte is a seasoned professional in data science and machine learning, currently serving as a Machine Learning Engineer at Anomaly since October 2021, where the focus is on enhancing healthcare billing through artificial intelligence. In addition to this role, James has been a Machine Learning Consultant for The Rockefeller Foundation since May 2020, contributing to projects related to remote sensing data and social media analysis. Prior experience includes a Data Scientist position at Consumer Reports, where work involved developing machine learning models and an NLP engine, alongside teaching roles as an Adjunct Lecturer at City College of New York and Hunter College. James holds a Master of Philosophy in Mathematics from The Graduate Center, City University of New York, and a Bachelor's degree in Mathematics from Columbia University.
This person is not in any teams
This person is not in any offices
The Rockefeller Foundation
13 followers
For more than 100 years, The Rockefeller Foundation has brought people together around the globe to try to solve the world’s most challenging problems and promote the well-being of humanity. Today, in a world capable of so much, it is unacceptable that there are still so many with so little. That’s why the Rockefeller Foundation fights to secure the fundamentals of human well-being—health, food, energy, jobs—so they’re within reach for everyone, everywhere in the world. Their approach is grounded in what we’ve seen work over more than a century: It’s inspired by science, rigorous about data, brings together and empowers others, and is focused on real results that improve people’s lives.