Portfolio

A collection of data science problems I've tackled, research papers I've written, and side projects I've worked on.

Blog

2026 Midterms Forecast

Coming Soon

Building a statistical model to forecast the 2026 U.S. midterm elections using polling data, economic indicators, and historical trends. Weekly methodology updates and predictions.

PythonRStatistical ModelingPolitical Data Science
Blog

2024 Presidential Election Blog

Weekly forecasting blog analyzing the 2024 presidential election. Built with R, featuring data visualizations, polling analysis, and probabilistic predictions.

RStatistical ModelingData VisualizationForecasting
Paper

Senior Thesis with Professor Raj Chetty

Harvard Statistics Department senior thesis under Professor Raj Chetty and Matthew Staiger exploring the spatial relationship between Latter-day Saint adherence, upward mobility, and social capital using areal interpolation and spatial regression models. Sample available here; email me for full access.

Spatial StatisticsRSocial CapitalEconomic Mobility
Project

Blurtle

A timed word-guessing game with unlimited guesses. Like Wordle but with a twist. Built with vanilla JavaScript and deployed on GitHub Pages.

JavaScriptHTML/CSSGame Development
Paper

Social Capital and Psychological Well-Being

Final paper for Professor Matthew Basilico's course, Economics of Mental Health and Homelessness, exploring the relationship between social capital and psychological well-being.

EconomicsMental HealthResearch
Project

Adaptive Cluster Sampling Tutorial

Comprehensive R tutorial on Adaptive Cluster Sampling methods, created as a teaching resource for advanced sampling techniques.

RStatisticsTutorialSampling Methods
Paper

Charitable Giving and Tax Policy

Economics seminar paper examining the elasticity of charitable giving with respect to marginal tax rates among top earners, moderated by religious observance.

EconomicsPanel DataPolicy Analysis
Blog

Harvard Housing Day Analysis

Data journalism article for the Harvard Open Data Project exploring the history and patterns of Housing Day videos through data visualization.

Data JournalismVisualizationPython
Paper

Political Ideology Prediction

Multinomial logistic regression analysis exploring relationships between demographic features and political ideology using survey data.

RLogistic RegressionPolitical Science
Project

Airbnb Price Prediction

Machine learning models to predict Airbnb prices in Europe using Python. Explored various algorithms including random forests, gradient boosting, and kNN regression.

PythonMachine LearningScikit-learnData Analysis
Project

Social Mobility R Package

R package for computing upward social mobility metrics using Raj Chetty's Opportunity Atlas data. Open-source tool for economic mobility research.

RPackage DevelopmentEconomicsOpen Source
Project

Youth Suicide Rates Dashboard

Interactive Shiny dashboard visualizing youth suicide rates across the United States, featuring chloropleth maps, time series analysis, and demographic breakdowns.

RShinyData VisualizationPublic Health