Work experience

• Private Tutor

  Princeton Tutoring, Freelance

  2021.11-Current

  (4 years)

  Python and C++ Programming, Mathematics, and Physics Tutor. Taught younger students the fundamentals of programming through interactive exercises and problem solving. Taught multiple high school students in Mathematics, Physics, and College prep – including Math Olympiad, Algebra I, Algebra II, Precalculus, Calculus I, Calculus II, AP Physics (1, 2 & C), and SAT/ACT Mathematics.
• Data Science Research Intern for Prof. Paul Asquith

  MIT Sloan School of Management Undergraduate Research

  2023.05-Current

  (2 years)

  • Made significant contributions to the publishing of a research paper on IPO underpricing by discovering that the after-market volatility of the share price days after the IPO overpowers majority of the other previously researched factors • Analyzed and manipulated large financial datasets on IPOs (~100k IPOs) using the Pandas Python library, allowing us to build models to predict
• Risk Engineering Summer Analyst

  Goldman Sachs

  2024.06-2024.08

  (3 months)

  • Optimized a major internal application used to calculate the creditworthiness for any given counterparty by reducing the time taken to calculate key metrics for evaluating risk by ~50% and increasing scalability to handle the processing of ~70k counterparties • Enhanced the error logging system for this application, allowing internal users to quickly identify and address any errors related to calculations, thresholds, and counterparty risk profiles

Educational experience

• Massachusetts Institute of Technology

  Computer Science and Engineering w/Minors in Finance & Mathematics

  2021.09-Current

  (4 years)

  Candidate for Master of Engineering in Computer Science, Concentration in Financial Engineering (Exp. May 2026) Candidate for B.S. in Computer Science and Engineering w/Minors in Finance & Mathematics (Class of 2025) Relevant Coursework: Design and Analysis of Algorithms, Linear Algebra and Optimization, Machine Learning, Probability and Random Variables, Topics in Mathematics with Applications in Finance, Statistics Computer Programming Languages: Python, C, C++, TypeScript, Pandas (Python Library), Java, Julia

Languages