Hey, I'm Chaelsey!

Chaelsey's Headshot

I'm a student studying computer science at the University of Pennsylvania. My main interests lie in the intersection between finance and technology. I am a 2x intern at Amazon and have also interned at a private equity firm.

Apart from my academic interests, I enjoy playing poker, studying crypto, and vlogging!

Experience

01.2025 — 03.2025

Spring Street Capital - Private Equity Intern

● Conduct financial modeling and valuations (DCF, Multiples, IRR) to assess investment opportunities for software companies.
● Building software tools to help perform market, industry, and company-specific evaluations.

0.52024 — 08.2024

Amazon - Software Development Engineer Intern

● Developed a library automating model comparison across various aggregation levels using different metrics.
● Utilized Python Pandas library for backend, AWS CDK for infrastructure changes, and AWS services (S3, SageMaker).
● Library generates results in CSV format to facilitate data analysis, speeding up the comparison process for scientists by over 50%.

06.2023 — 08.2023

Jane Street - Academy of Math and Programming

● Studied applications of combinatorics, number theory, game theory, and Python programming under the mentorship of IMO medalists and coaches.
● 2nd Place Team in Jane Street's Electronic Trading Competition: developed quantitative trading algorithms for market exchanges in Python, utilizing techniques such as statistical arbitrage, to profit off of stocks, bonds, ETFs, and ADRs.

Projects

Top Languages Pie Chart
LLMenu

LLMenu

Typescript, React

AI-powered recipe engine that generates meal sugestions based on ingredients you have.

2048

2048

Java

Recreation of the single-player sliding tile video game.

Traders at MIT

Traders at MIT Competition

Python, Jupyter Notebook

Recreation of the single-player sliding tile video game.

NIM

NIM AI Player

Python

Recreation of the NIM game, featuring the ability to obtain the best guess.

News Finder

News Dashboard

HTML, CSS, JavaScript

Utilizes API from newsapi.org to fetch news based on input into search bar.

Contact