Summary
Richard Bryant is a Senior Data Scientist with 9+ years of experience applying statistical modeling and machine learning to healthcare, advertising, and pharmaceutical domains. He currently leads forecasting and cloud migration efforts for a vacancy prediction system at HCA Healthcare, optimizing time-series models to predict nurse terminations and moving solutions from Azure to GCP. Richard has built high-throughput real-time decision systems using Hadoop and Spark for ad optimization, developed RShiny tools and full-stack courses for pharmaceutical clients, and produced predictive models for clinical and operational problems. He also runs the RichardOnData YouTube channel, sharing practical data science insights to a growing audience of over 22,000 subscribers, reflecting his commitment to clear technical communication. Notably, his background spans hands-on production ML, exploratory analysis of tens of millions of rows, and teaching—combining research-caliber rigor with product-focused delivery.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Applied Statistics, Bachelor of Science (B.S.), Applied Statistics at University of Michigan
NA, NA at Oakland University