Web app that lets users search and filter articles from a selection of websites and generate summaries and sentiment analyses for those articles. Includes a database to save and retrieve articles for later viewing. Built with an HTML/CSS/TypeScript frontend and a Python Flask backend providing API endpoints, LLM integration, core logic and functions, and database operations.

Web app that extracts key information from PDF files and outputs them in downloadable .csv format. Built as an internal tool for MSI, so currently only works with company specific documents. Frontend built with HTML, CSS, and TypeScript, with a Python Flask backend for document parsing. Hosted on Render.

Led a quarter-long data science project analyzing the relationship between heart disease and factors such as demographics, income, and lifestyle using exploratory data analysis and machine learning. Used Python (Pandas, NumPy) for data cleaning and preprocessing, and built a final logistic regression model for prediction.

Machine learning project focused on predicting "likabiilty" of steam games given certain metadata, such as game description, price, tags, reviews, and playtime statistic. Developed an ensemble model comprising of three models: Naive Bayes for text, Combined Logistic Regression for text + metadata, and Random Forest for meta-data.

Simple sketching tool in pixel art style with a resizable canvas, color picker, and eraser. Built with HTML and CSS for frontend design, and JavaScript for functionality. Deployed with GitHub Pages.

Rock Paper Scissors game against the computer, first to five wins! Built with HTML and CSS for frontend design, JavaScript for functionality, and deployed on GitHub Pages.

Created ad template based off existing graphic with HTML and CSS, for use in email marketing, compatible with different email clients

Led a quarter long research project on glacier retreat in Glacier National Park, utilizing GIS tools and research data to produce a comprehensive report and presentation through ArcGIS StoryMaps.