Experience
Trading Analyst LMCG Investments
July 2024 - Present
- Optimized fixed income and multi-asset trade execution workflows using Python and SQL across 100M+ record datasets, enhancing strategy performance and alpha generation by 30%
- Built automated investment data pipelines monitoring credit and bond exposures, improving strategy responsiveness to spread and rate signals
- Contribute to strategic discussions for a $5bn fund as part of the 7-person investment team, integrating quantitative and credit risk insights into portfolio construction
Financial Engineering Summer Analyst BlackRock
June 2023 - August 2023
- Stress-tested a new risk analytics server using Python statistical models, contributing to department-wide adoption and enhanced multi-asset portfolio risk monitoring
- Developed portfolio performance toolkit using the Tableau API, Python, and SQL, streamlining benchmarking and monitoring workflows
Data Science Intern Fidelity Investments
June 2022 - August 2022
- Built machine learning models using PCA and K-Means Clustering to detect bond pricing anomalies with 80% precision, enabling early identification of mispricings and credit risk signals
- Automated data pipelines enhancing bond pricing accuracy and accelerating integration into credit portfolio analytics
Teaching Assistant University of Pennsylvania
January 2022 - May 2024
- Taught core CS concepts including algorithmic complexity and data structures, held office hours, and graded weekly homeworks and exams for over 200 students
Education
University of Pennsylvania
B.S.E. in Computer Science, Minor in Economics & Data Science
September 2020 - May 2024
- Grace Hopper Conference Scholarship, Benjamin Franklin Scholar
- Relevant Coursework: Corporate Finance, Statistics and Probability for Data Science, Machine Learning and AI, Mathematical Fundamentals of Linear Algebra and Optimization, Big Data Analytics, Macro-Modeling Economics
Leadership
Board & Project Member Women in CS
September 2020 - May 2024
- Organized an annual all-woman hackathon with 250+ attendees, fostering innovation and technical education in the Philadelphia tech community
- Built predictive analytics models using Python to forecast content engagement trends in TED talks and applied NLP techniques to analyze 100,000+ COVID-related tweets for sentiment trends
Webmaster Upenn Theta Tau
September 2020 - May 2024
- Designed and maintained website analytics dashboards and blogs for 100+ users, improving engagement and accessibility