With a master’s degree in Applied Economics and International Public Affairs from the University of Wisconsin-Madison, I am committed to applying rigorous empirical research and data-driven insights to enhance governance and institutional effectiveness. My academic and professional experiences have equipped me with strong quantitative skills, policy research expertise, and technical proficiency in R, Python, and Stata for data management, statistical analysis, and visualization. I have extensive experience working with large administrative datasets, developing automated reporting systems, and implementing reproducible research workflows. My research background includes applying econometric modeling techniques, machine learning applications, and database management to inform evidence-based policy solutions. Since graduating, I have continued to expand my technical expertise by pursuing self-directed projects, including sentiment analysis, and structural forecasting applications.
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