In this project I implement a Weighted Delta Regression model to quantify the average year-over-year decline in wOBA (Weighted On-Base Average), providing a stable aging factor for player projection systems. Built using R (Lahman, tidyverse) with results visualized in Tableau.

In this project, I analyzed bike share data to compare usage patterns between annual members and casual riders and to explore factors affecting ride duration and frequency. I employed tools like R and Tableau to create visualizations and a dashboard, showcasing insights into ride trends, peak usage times, and ride preferences. 

In this project, I developed a predictive model using Random Forests to forecast MLB team win totals based on various team statistics from historical data. Skills utilized include data preprocessing, normalization, model training and evaluation in R, and building an interactive Shiny application for user-driven predictions and reverse engineering of required statistics for a target number of wins.