Summary
Dillon Williams is a senior data scientist with 10 years of experience translating complex data into operational impact across manufacturing, aerospace, and consumer goods. He has a track record of leading cross-functional teams to deliver scalable analytics products and predictive systems—from a SaaS financial-forecasting ML product to in-house predictive maintenance that boosted battery production and saved millions. At Duracell he combined Snowflake, Power BI, and DAX to create self-serve data models that avoided a $1M write-off and improved throughput and safety metrics. Comfortable from cloud APIs and Dockerized ML endpoints to hands-on instrumentation and IoT networks, he bridges data science, engineering, and product delivery. A Master’s in Data Science and a mechanical engineering background give him a practical edge for turning statistical studies into implemented savings. Off-hours he’s a full‑stack tinkerer and spikeball enthusiast, suggesting a hands-on, energetic approach to problem solving.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of Colorado Boulder
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Auburn University