Breen Mee

Results-driven Data Science professional with a strong foundation in mathematics and hands-on experience in machine learning, predictive modeling, and document AI. Adept at building and optimizing models to extract insights from complex datasets. Proven ability to enhance operational efficiency through automation and data-driven solutions

Greyhound Race Prediction Model

• Developed a predictive model for greyhound racing outcomes, incorporating historical performance, track conditions, and dynamic parameters
• Implemented feature engineering techniques to improve prediction accuracy
• Continuously trained and refined the model using new race data to improve performance

Document AI - Borrower Name Extraction

• Built a custom NLP model to extract borrower names from Closing Disclosure documents
• Trained on real-world datasets, achieving high accuracy in information retrieval
• Applied entity recognition techniques to enhance model precision

SW Lac Binary Star System Analysis

• Collected and processed hundreds of telescope images to generate light curves for the SW Lac binary star system
• Applied computational image processing techniques to refine data quality