Summary
Patrick Good is a Senior Data Scientist with 11 years of experience applying machine learning and MLOps to logistics and supply chain challenges at UPS, where he progressed from intern to senior technical roles. He combines strong engineering chops in Python, SQL, Java and GCP with a formal MS in Computer Science from Georgia Tech and a BS from the University of Kentucky. Patrick has a track record of shipping production-ready models and data-driven applications across large-scale operational environments, bridging algorithm design and pragmatic software delivery. Based in Louisville, he brings domain expertise in parcel logistics plus experience with Agile delivery practices, making him adept at turning complex operational data into measurable business impact. An earlier international stint studying automotive engineering in Nagoya adds a practical systems perspective that informs his approach to scalable, real-world ML solutions.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of Kentucky
Automobile Engineering, Automobile Engineering at Nagoya University
English, Japanese