Summary
Binbin W is an actuarial analyst and third-year Mathematics and Economics student at NYU, blending strong quantitative training with hands-on data engineering and visualization experience. At Ascot U.S. they automated rate monitoring from Excel to Power BI, improving retrieval speed 8x and boosting accuracy, and built a standardized historical data repository to align pricing insights across multiple insurance lines. They pair technical fluency in R, SQL and BI tooling with practical model testing and data quality work, and have applied LLM prompt-engineering ideas in data products during an analytics internship. Comfortable moving between product, actuarial, and marketing teams, Binbin has a track record of turning messy datasets into auditable, decision-quality reporting and a penchant for pragmatic automation that reduces manual work.
9 years of coding experience
High School Diploma, Applied Mathematics, High School Diploma, Applied Mathematics at Hangzhou High School
Major in Mathmatics and Economics | Minor in Social Entrepreneurship and Gender Studies, Major in Mathmatics and Economics | Minor in Social Entrepreneurship and Gender Studies at New York University