Matthew Levine

About Me

Hello! I'm Matthew, I'm a recent graduate in Statistics and Computer Science from Boston University. I enjoy programming, exploring data, making ML models, and continuously learning new technologies. I'm interested in data analyst, data scientist, data engineer, machine learning engineer, and software engineer roles.

Portfolio

Here are some of my projects:

Box Score Data Scraper and Models

Developed a data pipeline to scrape and analyze 13,000+ NFL boxscore games in Python with Pandas and BeautifulSoup
Designed models with XGBoost and TensorFlow to predict field-goal success probability
Generated a dashboard with Power BI to visualize data and trends in various box score statistics

Credit Card Fraud Detection Model

Mined 60,000+ credit card transactions using Pandas and Matplotlib to identify trends and patterns related to fraud
Constructed and fine-tuned a credit card fraud detection model using XGBoost and Scikit-learn
Achieved a 0.99 F1 score and placed 1/150 participants in a class Kaggle-style data science competition