About
Business analytics and product-minded data professional with an MSBA from Northeastern (D'Amore-McKim) and an MBA. Specializes in Python, SQL, machine learning, and data storytelling. Open to product and data roles.
Education
- MS Business Analytics — Northeastern University, D'Amore-McKim School of Business
- MBA
Skills
Projects
2025Diabetes Risk Prediction
Supervised classification comparing Logistic Regression, Decision Trees, and KNN to predict diabetes risk from lifestyle and biometric factors. Evaluated with accuracy and F1-score.
2025Skandia Demand Forecasting (Capstone)
Led demand forecasting for a grain equipment manufacturer. Applied Holt-Winters exponential smoothing to 12 years of order data to predict product category demand for inventory planning.
2020PGA Golf Top-10 Prediction
Predicted top-10 PGA finishers after round 2 using feature engineering from shot-level data and Random Forest classification evaluated across held-out tournaments.
2024MISO Survey Data Storytelling
Analyzed faculty IT service perception data from 2018–2024 to identify service gaps. Delivered executive-level insights to university leadership via visualizations and narrative summary.
2020IMDb Top 500 Data Enrichment
End-to-end data wrangling for a streaming client: scraped IMDb top-voted films (2018–2020), cleaned and transformed records, and enriched internal catalogs.
Interests
Contact
Open to data and product roles. Let's talk.