Negotiated and secured performance opportunities by pitching Birchwood to venue owners and

event organizers, building strong client relationships in a competitive local market

Built and executed growth strategy across social media and live performances, resulting in the gain

of over 3,000 followers in a 1 year span

Performed as a guitarist and vocalist, collaborating on original music and leading band coordination

Developed a machine learning-based Swing Decision Model in Python to assess the expected run value impact of swinging or taking a pitch, enhancing decision-making analytics for player and game strategies.

Performed extensive data cleaning and preprocessing to ensure high-quality inputs for the model, employing techniques to handle missing values, outliers, and feature engineering.

Managed and analyzed large datasets using SQL to extract, transform, and load data efficiently, optimizing database queries for performance.

Utilized scikit-learn and other machine learning libraries to build and tune regression models, implementing strategies to evaluate model performance

Applied statistical analysis and visualization tools to interpret and communicate model results, collaborating with the analytics team to drive insights for game strategy and player development

Maintained well-documented code and presented findings to coaches and faculty, emphasizing data-driven recommendations

Developed a propensity model for predicting personal loan uptake

Worked extensively with large datasets, performing data cleaning, feature engineering, and exploratory data analysis to optimize model performance

Utilized Python and SQL to manage and analyze big data, improving the efficiency and accuracy of data processing workflows