Bayesian Cart
Our implementation of the Bayesian CART model search algorithm.
Portfolio
Brief list of topics: Bayesian statistics, statistical learning, Markov chains, sentiment analysis, neural networks and evolving topology, web-scraping, simulation, interactive dashboards and visualizations.
Languages: Python, R, SAS, SQL, Git
Current Interests: Analyzing and Visualizing MLB pitching patterns. After-hours stock market trading.
Selected Past Projects (section still in progress):
Bayesian Model Averaging
Building a Bayesian Model Averaging algorithim for linear regression models.
Fantasy Football Sentiment Analysis
Combining Tweets and NFL Data to gain an edge in Fantasy football
Implementing Neat In Robocode
The objective was to create a competitive Robocode player with the implementation of the Neuro-Evolution of Augmenting Topologies (NEAT) algorithm.
Pitch Scraping
Updating a Python-based web-scraper to construct a Pitchf/x database.
Simulating Major League Baseball Games
Constructing an algorithim in SAS to simulate a Major League Baseball game utililizing Markov Chains.
Visualizing Pitcher Performance
Creating Python GUI to visualize in-game pitcher performance