Quantitative Finance Analyst in QIS Strats Team (Institutional Equity Division)

Institutional Equities Division

Built Natural Language Processing Machine Learning models (Naïve Bayes, Random Forest) to automatically classify publications using NASA datasets to provide useful data products to clients, reducing manual efforts by 77%. Also built a knowledge graph database of dataset entities to enhance search functionality using AWS Neptune, EC2. Built graph search engine web-app with Flask backend, hash query matching, and result ranking algorithm. Presented and published work at ESIP conference to non-technical and technical audiences. Publication DOIs: 10.6084/m9.figshare.15054192.v1, 10.6084/m9.figshare.15054267.v1

Research assistant in Natural Language Processing research lab under Dr. Adam Poliak and Dr. Cait Dreisbach. Affiliated with Columbia Data Science Institute.

Member and student leader of Vertically Integrated Project research team. Lab develops cutting edge technologies in the fields of biotechnology using computer science (Java, React, etc.) and other methodologies. Had the privilege to work alongside upperclass and graduate researchers.

Worked as a member of the web-content team. Responsibilities include creating content, managing content display on web-platform.

Taught all levels of math to children ages 5 to 17. Topics include everything from numerical fluency to calculus.