Connor Sandagata
Connor Sandagata is a data scientist and machine learning expert specializing in political campaigns and public opinion analysis. He has significant experience in building machine learning models for voter targeting, leveraging his proficiency in R programming and statistical analysis to provide strategic insights that enhance campaign effectiveness.
Connor now plans to leverage his expertise in machine learning, data analysis, and causal modeling to inform policy. He is passionate about issues related to metascience, governmental process efficiency, and institutional effectiveness. He believes that thoughtful policy can foster innovation and improve operational effectiveness.
He holds a Bachelors in International Relations from the University of Rochester with a specialization in mathematical modeling for social sciences.