Josh Yazman is a data-driven research director with eight years of analytics experience and a decade-long track record helping progressive campaigns and organizations turn voter and survey data into actionable strategy. Currently leading research at Catalist, he authors influential post-election analyses, manages large-scale polling projects, and continuously refines voter models and psychographic/media-consumption tools. His background spans startups and firms like Civis and BlueLabs, where he built tracking surveys, led Spanish-language outreach, and scaled message-testing and forecasting infrastructure. Josh pairs technical chops in R and Python automation with hands-on field experience—from running seven-person field teams to co-founding a political analytics shop—so he communicates insights to both technical and nontechnical stakeholders. He’s comfortable in full-time or consulting roles and has a Master’s in Predictive Analytics, which underpins his focus on model validation and practical improvements to vendor tools. An unexpected strength: he has repeatedly reduced manual processes (e.g., sample development) from hours to minutes, freeing teams to focus on strategy.
8 years of coding experience
9 years of employment as a software developer
Virginia Tech
High School, High School at Marshall High School
Master’s Degree, Predictive Analytics, Master’s Degree, Predictive Analytics at Northwestern University
Certificate of Completion, Data Analysis, Certificate of Completion, Data Analysis at General Assembly
Semester in Washington Program, Politics and Public Policy, Semester in Washington Program, Politics and Public Policy at Georgetown University
Contributions:32 commits, 31 pushes, 1 branch in 1 year 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.