Skills
Microsoft Excel, Python
About
EDUCATION .
Cornell University (Ithaca, NY) | College of Engineering; B.S. Computer Science | GPA: 3.67 | August 2023 - May 2027
Relevant coursework: Multivariable Calculus; Linear Algebra; Object-Oriented Programming; Probability & Statistics for Engineers; Digital Logic and Computer Organization; Discrete Mathematics
Activities and societies: Cornell Quant Fund; ORIE Research- Courier Health; Alpha Phi philanthropy; Women in Computing at Cornell; Society of Women in Business; Society of Women in Engineering.
Stanford University Summer Session (Palo Alto, CA) | June 2022 - August 2022
Relevant coursework: Programming Abstractions (C++); Multivariable Calculus and Linear Algebra.
EXPERIENCE .
Aristeia Capital (Greenwich, CT)
Returning quantitative finance intern: June 2024 - August 2024
Developed a low-frequency statistical arbitrage strategy for emerging foreign exchange markets
Used historical macroeconomic data to create and refine trading signals
Analyzed sharpe ratio & returns over gross market value among 10+ signals to minimize risk and maximize profitability
Combined low-correlated high-performing signals to improve PnL and risk-adjusted returns, using statistical analysis to determine correlations and weight signals respectively
Used statistical modeling to analyze and improve performance
Built a binary random forest classification AI model to analyze non-linear signal combination performance
Quantitative finance intern: May 2023- June 2023
Developed a foreign exchange carry trade strategy with a universe of the G10 currencies
Used a set of 5 macroeconomic trading signals to determine which currencies to buy and sell for each trade
Refined signals to optimize PnL & backtested to analyze long-term profitability
Evaluated sharpe ratio to maximize risk-adjusted return
ORIE Research Lab- Courier Health (Ithaca, NY)
Research group for Courier Health: September 2024 - current
Streamlining patient portal using data analysis and machine learning methods to match identical patients from multiple records
Inspirit AI (Online) — Student: May 2021- December 2021
Participated in the 50-hour artificial intelligence learning program under the guidance of MIT and Stanford graduate students for 50 hours
Completed both regular and deep dive programs, focusing on natural language processing (NLP) and convolutional neural networks (CNNs)
Built projects with mentorship, including a stock market sentiment analysis model for tweets, a model for categorizing retinal scans for diabetic retinopathy, a fake news generator, and a mental health chatbot
Local Tutor (Greenwich CT) — August 2019 - June 2023
Tutored mathematics, English, and computer programming
SAT tutoring (August 2024 to current)
SKILLS .
Programming languages: Python, Java, C++, HTML, JavaScript
Data analysis and statistical modeling: Pandas, NumPy, Seaborn, MatplotLib, SciPy
Financial analysis tools: Bloomberg Terminal, Excel
Soft skills: PowerPoint, analytical thinking, adaptability, time management, problem solving, attention to detail, leadership, communication, social outreach, marketing, public speaking
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