Master’s student in Data Science nearing graduation, with experience in Machine Learning, statistical modeling, and data analysis. Strong skills in Python, R, SQL, predictive modeling, and data visualization. Currently seeking a full-time position as a Data Scientist or Data Analyst to apply the competencies developed throughout my academic career.
Master’s Thesis
Market Predictive Strategy (S&P 500),
Developed a quantitative trading strategy using machine learning models (XGBoost + ElasticNet) with regime detection and dynamic position sizing. Implemented rolling feature engineering, XGBoost-based feature selection, and time-series cross-validation with embargo to avoid data leakage. Integrated risk management components such as market-condition filters, volatility-based sizing, and regime-aware scaling.
Key results: Sharpe 1.11, Adjusted Sharpe 1.14, Sortino 1.36.
Email Classifier
Machine Learning Course Project, Built a machine learning classifier for corporate email categorization.
Performed text preprocessing, feature extraction, and model training in Python.
Church Sacra Famiglia, Summer Volunteer Educator, from 2014 to 2018
Sacra Famiglia Summer Center, Volunteer Educator, from 2014 to 2018, Supported educational and recreational activities for children and teenagers.