🎓 I graduated with a Master of Applied Data Science (MADS) from the University of Michigan School of Information (UMSI). Before transitioning into data science, I earned a Master’s degree and a PhD in Management Engineering from the Polytechnic University of Turin.

My portfolio below showcases the outcomes of hands-on, application-focused courses. These projects demonstrate my skills in:

• Data manipulation and cleaning
• Machine learning, including neural networks
• Data visualization
• Big data processing with PySpark

The projects span a variety of domains, including news broadcasting, videogame recommendation systems, and procurement analytics in supply chains.

🏢 MADS Capstone Project in collaboration with KPMG

A solo project focused on classifying procurement spending categories across four hierarchical levels.

• Developed a multi-step machine learning pipeline where predictions at each level feed into the next
• Compared models including Decision Trees, Random Forest, and Gradient Boosting
• Applied NLP techniques to purchase order descriptions
• Engineered features using one-hot encoding and domain-specific attributes

🎓 MADS Milestone II Project

Collaborative project with a team of three on a STEAM dataset from Kaggle.

• Built a recommender system using deep learning (Keras)
• Designed to suggest relevant games based on player behavior and preferences
• Employed extensive data preprocessing, embedding layers, and evaluation techniques in Python

🎓 MADS Milestone I Project

Explored the spread and effectiveness of Russian propaganda regarding Ukraine.

• Scraped and processed data from major Russian TV broadcasts
• Analyzed temporal and thematic trends using pandas, matplotlib, and Vega-Altair
• Delivered a comprehensive analysis of how narratives evolved over time
• Completed with a team of two over a two-month period

Other tools and skills

• Data visualizations: vega-altair
• Scraping: scrapy
• NLP: spacy

I completed a PhD in Management Engineering at the Polytechnic University of Turin.

• Researched the impact of data science technologies on decision-making processes and supply chain governance
• Analyzed survey data from the Italian and U.S. automotive sectors using STATA and Tableau
• Published four peer-reviewed papers in leading management journals
• Presented findings at international conferences
• 🏆 Awarded Best Paper at the 2019 IFKAD International Conference