Policy Research & Mathematical Modeling – 118th U.S. Congress
Web Design & Financial Modeling – Brooklyn College, CUNY
Led research on hate crime statistics across U.S. college campuses and drafted a bipartisan letter signed by 13 members of Congress and the Anti-Defamation League.
Applied Bayesian statistics to analyze constituent data ranging from August 1, 2021 to March 7, 2024, revealing political engagement trends across Manhattan. Created predictive geo-spatial maps that successfully identified high-probability protest areas and predicted encampments on Columbia University one month in advance.
[Releasing Soon] I am removing sensitive data from reports
Researched Basel III financial regulations and banking risk management frameworks. These findings were presented to the Congressman and legislative staff to inform policy decisions and vote recommendations, emphasizing impacts on U.S. banks and constituents.
View Project[Releasing Soon] I am removing sensitive data from reports
Applied cubic spline interpolation and Monte Carlo simulation to convert raw cumulative spend records into probabilistic monthly and annual forecasts. Developed dashboards assisting budget planning and risk management
View Project[Releasing Soon] I am removing sensitive data from reports
(1) Python based system to approximate the underlying parameters that shape the US fixed-income yield curve given 30 year bond info sourced from the Bloomberg Terminal
(2) Use in Portfolio optimization by analyzing US bonds in bulk. (1,000+)
View Project[Releasing Soon]
Created the website serving our student-body of roughly 14,000 students
If you would like to contact me or learn more about my projects