Summary
Jack Nelson is an Industrial Engineer turned Data Scientist with nine years of experience applying data-driven methods to optimize manufacturing and production processes. Based in San Diego after roles at Ford and Viasat, he blends industrial engineering fundamentals with modern data science to improve throughput, set sustainable productivity targets, and build exploratory analytics dashboards for complex manufacturing systems. His background includes hands-on virtual manufacturing for vehicle launches, supplier quality investigation, and warehouse flow redesign, giving him a practical edge in translating analytics into operational change. A Purdue-trained engineer with a Data Science master’s from SMU, he pairs domain fluency in manufacturing with curiosity—evident from a public GitHub presence—and a Midwest-born fondness for underdog sports teams.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Industrial Engineering, Bachelor of Science (BS), Industrial Engineering at Purdue University
Master’s Degree, Data Science, Master’s Degree, Data Science at Southern Methodist University
High School, High School at Detroit Catholic Central