Summary
Daniel Cunningham is a Senior Data Scientist based in Chicago with eight years of experience building production ML systems, recommender engines, and MLOps foundations. He helped drive over half of Kroger’s e-commerce revenue by developing personalized recommender systems at 84.51˚ and has practical experience operationalizing models, A/B testing, and creating tooling to accelerate data science workflows. Now at Equity Residential, he continues to bridge statistics, data engineering, and deployment practices to deliver measurable business impact. His background includes enterprise healthcare systems work at Epic, where he reduced performance failures by over 50% and led technical teams—an indicator of his mix of hands-on engineering and leadership. Trained with an MS in Statistics from the University of Chicago and a BS in Materials Science, he brings analytical rigor and systems thinking to complex, real-world problems.
8 years of coding experience
7 years of employment as a software developer
BS, Materials Science and Engineering, BS, Materials Science and Engineering at University of Connecticut
MS, Statistics, MS, Statistics at University of Chicago