Summary
Matthew Potts is a Principal Data Analyst based in Atlanta with 10 years of experience turning complex datasets into actionable business outcomes across telecom, real estate, and industrial R&D. He blends statistical rigor (R, Python, SQL) and production ML (TensorFlow, NLP, cloud platforms) with hands-on engineering—building ETL pipelines, data warehouses, and visualizations that scaled operations for hundreds of users. His background spans market research, astrophysics, and patent-driven sensor R&D, giving him a rare mix of domain curiosity and technical depth that fuels practical innovation. At AT&T he leads data initiatives from research through deployment, and previously integrated ML into decisioning and reporting at Apartments.com. He’s motivated by new challenges and known for proactively identifying high-value opportunities that improve client experience and operational efficiency.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at Roanoke College
Master’s Degree Master of Information and Data Science, Master’s Degree Master of Information and Data Science at UC Berkeley School of Information
Bachelor of Arts (B.A.) Economics and Environmental Studies with a minor in Chinese, Bachelor of Arts (B.A.) Economics and Environmental Studies with a minor in Chinese at Dartmouth College
English, Chinese