Summary
Caleb Sturges is a senior data scientist with 10 years of experience building production-ready forecasting and ML systems across fintech, automotive, adtech, and research domains. He leads open-source fintech development (ComChest) and has built time-series and user-behavior models for mobile apps, loan risk, and auction bidding using Python, R, Spark, and SQL. Caleb pairs strong computational skills (C#, Julia, MATLAB, Flutter) with applied econometrics and experimental design, having optimized large-scale risk simulations at Toyota by 100x and migrated analytics from SAS to Python at Hyundai. He has a track record of shipping end-to-end pipelines and mentoring junior data scientists while directing a distributed team of open-source developers. Based in West Virginia, he blends academic rigor from an MS in Economic Systems Design with practical product impact in production environments. An intriguing thread through his career is combining economic modeling and software engineering to make complex financial systems auditable and performant.
10 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.) Economic Systems Design, Master of Science (M.S.) Economic Systems Design at Chapman University