Summary
Shad Hopson is a data scientist in New York with 11 years of multidisciplinary experience applying analytics, machine learning, and automation to public health and environmental problems. Currently at the CDC after a fellowship, he has built production ETL pipelines, automated reporting, and trained models (e.g., logistic regression on TF-IDF features) to improve data quality for COVID response and vaccination outreach. A Georgia Tech MS in Analytics and a background in physics and research give him strong quantitative rigor, while prior roles as an educator and mentor reflect an ability to translate technical work for nontechnical audiences. He combines hands-on coding (Python, SQL, JavaScript) with practical program evaluation, and has used data to inform grant decisions and operational planning in both city health systems and conservation organizations. Notably, his early projects at the Recurse Center show a long-standing habit of building data-driven visualizations and web tools that connect analysis to storytelling.
11 years of coding experience
5 years of employment as a software developer
High School, High School at Ballston Spa High School
Master's degree, Analytics, 4.0, Master's degree, Analytics, 4.0 at Georgia Institute of Technology
Bachelor’s Degree, Physics, 3.4, Bachelor’s Degree, Physics, 3.4 at Allegheny College
English