An automated dashboard for tracking and analyzing global discourse on AI safety, alignment, and policy, built with Python, Streamlit, and GitHub Actions.
An overview of the tools used to build this portfolio site from scratch, including Quarto for content generation and GitHub Actions for automated deployment.
A Python-based machine learning application deployed with Streamlit to predict customer churn in real-time for GreyNoise Intelligence.
An end-to-end machine learning project that involves cleaning, training, and deploying an interactive web application to predict customer churn on the classic Telco dataset.
A web app that performs real-time NLP sentiment analysis on movie reviews, demonstrating a full workflow from data preparation to model tuning and deployment.
A project for my CSE 6250: Big Data for Health Informatics course that investigates the effectiveness of using neural network models to predict hospital readmission rates.
A complete UI/UX project that follows a user-centered design process to research, prototype, and evaluate a more efficient and intuitive camera mode selector for iOS.
A project for my CS 7646: Machine Learning for Trading course where I built and evaluated an algorithmic trading strategy using a custom-implemented bagged random forest…
My undergraduate honors thesis, which uses the synthetic control method in R to estimate the long-term economic impact of Chile’s structural reforms in the 1970s.