Geoffrey Thompson is a data scientist with a PhD in Statistics and eight years of experience applying statistical modeling, clustering, and machine learning to product-focused problems at Cisco and in academia. He blends deep theoretical knowledge of multivariate and unsupervised methods with hands-on implementation in R (and some C), building proofs of concept and production-facing analytics for CX and assurance teams. Prior roles include university teaching and consulting, plus senior HR metrics work where he translated workforce data into strategic decisions—an uncommon bridge between people analytics and advanced ML. Based in Chicago, he’s particularly interested in scalable clustering for large datasets and statistical image processing, bringing both research rigor and practical product impact.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Iowa State University
MS, Mathematics, MS, Mathematics at Roosevelt University
BA, Mathematics, BA, Mathematics at University of Chicago
Contributions:2 releases, 3 pushes, 3 branches in 1 year 10 months
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