Summary
Shad Griffin is a Distinguished Data Scientist with eight years in client engineering at IBM and a 25+ year analytics career spanning telecommunications, healthcare, manufacturing, and finance. He excels at turning complex data environments into practical, production-ready solutions—designing supply-chain optimization, AIOps, and large-scale forecasting systems that have driven multimillion-dollar deals. A proven leader, he manages cross-functional teams for proofs-of-concept and signature account implementations while also authoring popular Data Science how-to content and videos that attract steady monthly audiences. Technically fluent across Python, R, SAS, SQL ecosystems and big-data platforms (Spark, Hadoop, Redshift, Db2), he repeatedly manufactures synthetic datasets and labs to accelerate customer adoption. Colleagues value his rare blend of econometrics and decision-optimization expertise combined with hands-on model deployment experience. Based in Denton, Texas, he balances deep technical craft with client-facing sales and delivery impact.
8 years of coding experience
18 years of employment as a software developer
Additional Graduate Course work, Economics, Additional Graduate Course work, Economics at University of Houston
BA, Economics, BA, Economics at Louisiana State University
MS, Economics, MS, Economics at University of North Texas