Summary
Charlie Berger is a seasoned product and technical leader with over three decades of experience building and commercializing machine learning, data mining, and analytics solutions, currently leading product management for Oracle Machine Learning and running CharlieDataMine. He combines deep domain expertise—from expert systems and statistical process control to in-database ML and industry vertical solutions—with hands-on product strategy, customer evangelism, and go-to-market execution. Charlie has a rare blend of startup and enterprise experience, having led product and marketing at Thinking Machines before Oracle acquired it and later founding the Analytics and Data Oracle User Community to bridge users and developers. He spearheaded Oracle’s Life Sciences initiative, translating database capabilities into practical research and clinical analytics platforms and fostering customer advisory feedback loops that drove product features. Trained as an industrial engineer with an MS and an MBA from Boston University, he pairs rigorous technical foundations with manufacturing and operational roots that inform practical, production-ready analytic solutions. Based in Chapel Hill, he is known for turning advanced algorithms into easy-to-use enterprise features that solve real business problems like fraud detection and customer segmentation.
8 years of coding experience
35 years of employment as a software developer
B.S. Industrial Engineering/Operations Research, 3.79 - Summa Cum Laude, B.S. Industrial Engineering/Operations Research, 3.79 - Summa Cum Laude at University of Massachusetts Amherst
M.S. Engineering, Manufacturing/Operations Research, Magna Cum Laude, M.S. Engineering, Manufacturing/Operations Research, Magna Cum Laude at Boston University College of Engineering
Master of Business Administration - MBA, Master of Business Administration - MBA at Boston University
English