Summary
Reese Jones is a PhD-trained Senior Data Scientist with eight years of experience applying machine learning to supply chain, logistics, and healthcare problems, currently building production-ready models at J.D. Power. They bridge research and engineering—delivering end-to-end ML systems (ETA prediction), fine-tuning BERT for information extraction, and leading cross-functional teams to dramatically reduce false positives in deployed products. Comfortable with MLOps best practices, Reese combines academic rigor from a Social Psychology PhD with hands-on data engineering to translate messy operational data into reliable, scalable systems. Based in Houston, they favor collaborative problem-solving and view their GitHub as an evolving learning notebook, reflecting a continuous curiosity for turning prototypes into production.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Social Psychology, Doctor of Philosophy (PhD) Social Psychology at University of Houston
Master of Science (MS) Psychology, Master of Science (MS) Psychology at National Taiwan University
Chinese, English