About me

I am a Data Scientist at Italdesign Giugiaro and an MSc graduate in
Stochastics & Data Science at the University of Turin.

My work focuses on:

• Causal machine learning
• Survival analysis under censoring
• Deep learning and time-series forecasting
• Simulation-based inference
• Explainability (XAI)
• Behavioural data modelling

🎓 Education

MSc Stochastics and Data Science — Univ. of Turin (2022–2025)
Grade: 109/110
Thesis: Efficient estimation of survival curves and quantile treatment effects under right-censoring.
Supervisors: Matteo Giordano, Stijn Vansteelandt.

Exchange Semester — Ghent University (2024)
Causal Machine Learning, Deep Learning, NLP.

BSc Mathematics for Finance and Insurance — Univ. of Turin (2019–2022)
Grade: 106/110
Thesis on 1D/2D random walks, skew walks and non-Markovian extensions.

💼 Professional & Research Experience

Data Scientist — Italdesign Giugiaro (2025–Present)

• Unsupervised clustering for internal portfolio analysis
• Hybrid revenue forecasting system (LSTM + XGBoost)
• Deployment, monitoring and pipeline automation

Research Intern — University of Turin (2023)

In collaboration with Italian Ministry of Foreign Affairs and Intesa San Paolo.

• Geopolitical risk prediction model
• Interactive visualization dashboard
• Gradient-based explainability for neural networks

📚 Publications

Carroccetto, E., et al.
Integrating XAI for Predictive Conflict Analytics.
xAI 2024 Late-Breaking Work and Demos.

🛠 Technical Skills

Programming: Python, R, MATLAB, C++, SQL
ML: deep learning, clustering, forecasting, causal ML
Statistics: survival analysis, stochastic processes
ML Engineering: pipelines, version control, monitoring

📢 Outreach

• Treasurer & volunteer — AVIS (2018–present)
• Board Member — Movimento Giovanile Cafasse (2014–present)