I’m a data scientist with a background in anthropology and international relations. Here you’ll find my work, thoughts, and recent interests.
Data Science Projects
- Public opinion on the Green New Deal and Paris Agreement
- Natural language processing, sentiment analysis, topic analysis
- Determining locations for census records in 1850 NYC
- Unsupervised clustering, gradient boosting, documentation, feature engineering sequences from record order
- Clustering trajectories by shape
- Distance metrics, unsupervised clustering, neural network LSTM autoencoders
- Explore economic impact of colonialism today
- Exploratory data analysis, visualization, missing data analysis
My Story

Nov 18, 2020
I’m a recent graduate from Columbia University’s Data Science master program, with a background in the social sciences.
As an undergraduate at UCLA I studied anthropology, and in true liberal arts fashion built a strong foundation in biology, chemistry, math, and physics in the process. International relations intrigued me, and I minored in global studies, gaining experience abroad by volunteering in South Africa, studying abroad in Thailand and France, and interning the the US Embassy in Bucharest, Romania.
Afterwards, inspired by work with data in the international relations field, I pursued my masters in Data Science at Columbia University, with the goal of applying data science techniques to analyze and contribute to building solutions for problems relating to sustainability, political analysis, development, etc.