About Me

I use data, statistics, and technology to understand complex social problems and turn evidence into useful decisions.

My background spans statistical analysis, machine learning, data visualization, software development, and research. I work primarily with Python, R, and SQL and enjoy translating complicated data into clear, actionable insights.

My academic background includes a Master’s in Applied Statistics for Social Science Research and a dual Bachelor’s in Computer Science and American Studies. Together, these fields have shaped how I think about the intersection of data, technology, policy, and society.