James Horine is an applied data science leader and adjunct professor with nine years of cross-industry experience building and scaling ML and forecasting systems for enterprises like Bayer, United Airlines, and KPMG. He excels at translating business needs into production-ready analytics—spearheading GenAI, RAG pilots, and global forecasting strategies that reduced innovation cycle time and consistently delivered projects on time and under budget. A statistician and software developer by training, he has led multidisciplinary teams, developed reproducible model pipelines, and holds a machine learning patent and a Bayer Top Performance Award. Comfortable across time series, geospatial, and large-scale Spark ecosystems, he brings a practical knack for turning R&D prototypes into integrated enterprise capabilities. Based in Chicago and teaching cybersecurity engineering capstones, he pairs technical depth with people-first leadership—and, as a fun aside, claims mastery over perfectly cooked boxed mac-and-cheese.
9 years of coding experience
11 years of employment as a software developer
Master of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at San José State University
Doctor of Engineering, Artificial Intelligence, Agricultural Economics, Systems Engineering, Doctor of Engineering, Artificial Intelligence, Agricultural Economics, Systems Engineering at Penn State University
Contributions:7 commits, 11 pushes, 1 branch in 1 year 2 months
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