Summary
Jed Isom is an Associate Director of Production Analytics with a decade of hands-on experience applying data science in industrial and manufacturing environments to drive measurable business impact. He builds and leads teams that deploy Bayesian models, neural-network digital twins, and scalable cloud scraping pipelines to cut costs, optimize resources, and shorten lead times across high-volume operations. Jed has a track record of turning exploratory analytics into production systems—from predicting auction wins for 100k+ vehicles daily to boosting aerospace part yields from ~74% to ~99%—and he pairs technical depth with operational fluency. He also co-founded a pricing automation startup and maintains a blog that demystifies data mining for non-PhD audiences, signaling both entrepreneurial drive and a gift for clear teaching.
10 years of coding experience
13 years of employment as a software developer
Machine Learning Engineer Nanodegree Machine Learning Engineer, Machine Learning Engineer Nanodegree Machine Learning Engineer at Udacity
Specialization Data Mining, Specialization Data Mining at Coursera - University of Illinois Urbana Champaign
MS Mechanical Engineering, MS Mechanical Engineering at Brigham Young University
English, Portuguese, Chinese