Summary
Wuhao Xia is a data analyst who blends data science, generative AI, and public policy to turn unstructured legal and financial texts into evidence-based recommendations for institutional decisionmakers. As an MPA candidate at Columbia SIPA and an incoming Data Analysis Intern at the World Bank Group, he builds RAG pipelines and applies ML and news-sentiment signals to forecast macroeconomic and regulatory trends. With a decade of experience across consulting, finance, and tech—supported by Python, R, SQL, and microeconometrics—he translates complex AI workflows into actionable policy insights. Beyond technical chops, he has led student organizations and taught R for public policy, signaling an ability to communicate advanced methods to diverse audiences. An appetite for cross-cultural perspective is reflected in his multilingual background and the aphorism on his GitHub: 行万里路,读万卷书.
10 years of coding experience