Experience
Industry Experience
Morgan Stanley
Quantitative Summer Analyst
May 2022 - August 2022
- Utilized Bayesian Vector Autoregression with historical macroeconomic data to forecast quarterly Consumer Price Index values for Poland
- Forecast customer stock prices based on supplier environmental, social, and governance features in supply chain relationship data
Morgan Stanley
Office of COO: Data & Analytics Summer Analyst
May 2021 - August 2021
- Used blockchain data along with market data to cluster cryptocurrencies and build time-series models for forecasting company returns
- Conducted A/B testing to identify the effect of alternative patent data from company portfolios on stock prices
NextEra Energy
Data Science Intern
May 2020 - August 2020
- Built unsupervised models utilizing UMAP, t-SNE, DBSCAN, K-means, and K-medoids to cluster customer profiles using big data with both numerical and categorical features
- Built and deployed algorithms utilizing NLP and geolocation that matches addresses to analyze customer data
- Converted IBM COBOL data to CSV and decrypted EBCDIC in Python
Research Experience
Machine Learning Department, Carnegie Mellon University
Research Assistant
November 2021 - Present
- Researched the impact of various design choices in ML pipelines that amplify or remedy bias and fairness on downstream inequities measured through notions of predictive performance and predictive disparity
- Built a prototype testbed that displays the effects on bias from interactions between the construct and observed space
Department of Statistics and Data Science, Carnegie Mellon University
Research Assistant
August 2020 - December 2021
- Used NLP and clustering to analyze data from Pennsylvania Prison Society, Correctional Association of New York, and John Howard Association of Illinois to develop cross-state indicators of differing levels in prison quality
Behavioral Health Research Laboratory, Carnegie Mellon University
Research Assistant
July 2019 – December 2019
- Federally funded research that models social and biological factors in real-world contexts under conditions of alcohol use
- Analyzed various data sets using SPSS from participants, helped run clinical trials, and led several lab meetings