Projects

Gridiron Analytics is a full-stack NFL analytics project that pulls 2024 play‑by‑play data, builds team‑level tendencies, and serves them through a FastAPI backend and a React Native (Expo) app that runs on web, iOS, and Android.

My website.

Saveory is a mobile app I built from scratch to help people in Madison, WI find local happy hours, drink specials, and live events — all in real time. It connects users to nearby bars and restaurants while helping businesses promote their deals and reach more customers.

This is a REST API for tracking user points across Fetch Rewards, allowing users to add points, spend points, and check their current point balance.

AlphaBoard is a transparent, AI-driven market analytics platform that blends machine learning with quantitative finance.

Repository my teammates and I will be using to stay organized as we prepare for the UChicago Trading Competition.

Recursive-Backtracking Algorithm

Machine learning robot I built using python, I analyzed how student's test scores are affected based off of their Gender, Ethnicity, Parental level of education, Lunch, and Test preperation course. The dataset I will be pulling from is from Kaggle and consists of 8 columns and 1000 rows.

Using Python I trained a machine learning model to predict the future volatility of stocks in the S&P 500, making predictions based on the values of current and previous stock market indices.

A python machine with a randomized algorithm simulating the process of the popular game.

This repository has the complete source code of a Snake game developed with the raylib game development library. Crafted in C++, the game leverages raylib's capabilities for graphics rendering, input management, and sound.

Website that I built in Visual Studio using HTML, CSS, Node.JS, the React App, and projected it using Amazon Web Services specifically: Route 53, S3, and Cloud-front.