Biography

I am a data scientist at the American Institutes for Research, where I support the Data Science and Advanced Analytics group in conducting cutting-edge research on topics related to education and public policy. My research emphasizes computational social science, machine learning, natural language processing, causal inference, and data visualization, using tools such as Python, R, Stata, and Tableau.

With a master’s degree in Data Science for Public Policy from Georgetown University and a bachelor’s degree in economics from Rhodes College, I have the theoretical and practical knowledge to apply data science methods and techniques to solve real-world problems and inform policy decisions.

As a passionate sports enthusiast and skilled data scientist, I harness my mathematical expertise to develop sophisticated models for predicting outcomes of MLB and NBA games. By leveraging historical player and betting market data, I create intricate algorithms that capture the nuances and complexities of these sports, enabling me to generate predictions for these events.

My mission is to leverage my data science and technical skills for the public good.

CV can be downloaded here.