I am an early professional with a Master’s in Computational Social Science from UC San Diego. My project experience spans areas such as machine learning, communication, statistics, and data science research methods.
My key accomplishments include using computational methods to extract and summarize data from the media industry and enhance library resource allocation. I am especially interested in how data communication can be improved in healthcare settings. I greatly enjoy programming and mathematics, and I am eager to leverage these skills to effectively support objectives in a data science role.
Coursework: Advanced Machine Learning, Statistics, Data Science
Honors Thesis: The Vanguard Portrait of Isabel Villaseñor: Artistic Femininity in Post-Revolutionary Mexico
Researched publishing industry economic data for UCSD's Macro Lab, led by Professors Andrew DeWaard and Shawna Kidman.
A replication of a difference-in-differences causal study, completed for POLI 273: Causal Inference.
Char-RNN project using PyTorch for text prediction, completed for COGS 185: Advanced Machine Learning.
Used publicly available data to replicate the results from "Towards smallholder food and water security: Climate variability in the context of multiple livelihood hazards in Nicaragua," Bacon et al. (2021). Completed for credit in Poli 279: Graduate Statistical Methods in Computational Social Science.
An undergraduate honors thesis in conjunction with the Northwestern Department of Spanish and Portuguese and Professor Jorge Coronado.