Summary
Russell Burdt is a Staff Data Scientist specializing in fleet operations with over a decade of experience applying data-driven solutions across semiconductor manufacturing, telematics, and autonomous vehicle systems. He blends deep applied-physics training (Ph.D. in Electrical Engineering, UC San Diego) with hands-on production ML—building large-scale collision prediction models for a million-vehicle fleet and predictive maintenance for high-power laser modules. Russell has a track record of being the first data scientist in multiple organizations, creating shared Python libraries, automated processing pipelines on AWS, and interactive TB-scale geospatial visualizations that turned domain complexity into operational tools. Comfortable at the intersection of field engineering and data science, he designs systems that empower engineers in both factory and fleet settings. Based in California, he’s known for translating advanced physical-system expertise into practical, production-ready analytics that reduce downtime and improve safety.
11 years of coding experience
20 years of employment as a software developer
University of California, San Diego
University of Missouri
Portuguese