Results-driven data science professional specializing in Python, SQL, and predictive modeling. At New England Infrastructure, successfully designed algorithms that enhanced supply chain efficiency and contributed to performance improvements. Known for exceptional analytical abilities and strategic decision-making skills, leading to significant safety enhancements. Adept at translating complex data into actionable insights for informed business strategies.
Internship working for WPI Football Team as a statistician for Spring Semester 2025, 01/25 - 05/25, Using raw data to help make performance dashboards to help aid in decision making (for games and recruiting), Collecting player statistics to measure player development over time, Collecting team play by play data to help create tendency reports
R, Python, Java, SQL, Excel (with Stat Tools), Access, Tableau, PowerBI, Gurobi, MongoDB, Oracle, Private Servers, Experimental Design, Probability, Hypothesis and ANOVA Testing, Regression and Diagnostic Plotting, Confidence Intervals, Time Series and Predictive Modeling, Decision Trees, Logistic Regression, Gradient Descent