Summary
James Triveri is a Head of Data Science with nine years of experience building production ML and scientific computing solutions across insurance and transportation sectors. He combines deep expertise in machine learning, numerical linear algebra and geospatial data science to deliver real-time pricing guidance, catastrophe modeling, and scalable scoring systems that handle tens of millions of spatial connections. James has led cloud migrations and automated infrastructure pipelines on AWS, developed interactive web tools for underwriting, and introduced probabilistic spatial methods (KD‑Tree/BallTree) and GANs to synthesize and protect GPS trajectory data. As an instructor he created an advanced Data Science III course and serves on an AI governing committee, translating research techniques into practical team upskilling. His background in actuarial analytics and scientific modeling gives him a rare balance of statistical rigor and product-focused engineering. Based in West Des Moines, he blends academic training from Georgia Tech and Augustana with hands-on leadership that turns noisy, large-scale geospatial signals into actionable business decisions.
9 years of coding experience
7 years of employment as a software developer
Bachelor's Degree Mathematics Physics, Bachelor's Degree Mathematics Physics at Augustana College
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
English