cv
experience
| 2025 – present1 yr 6 mos |
PhD Candidate, Utrecht University
Visualization and Graphics group, Department of Information and Computing Sciences, and SMARTneurolab, Utrecht, NL
Within the VR4eVR project, I manage and analyse the data generated by VR-based rehabilitation training for patients with hemianopia (eye-tracking metrics, task performance, progression over time) and build visual analytics tools to explore it. |
|---|---|
| 2019 – 20255 yrs 7 mos |
Data Scientist, Prometeia
Data Science team, Milan, IT
Consultancy projects in CRM, credit risk and insurance for international banks and insurance companies:
Python and PySpark on billions of transaction records, with Databricks, Palantir, Datalabs and the Prometeia Modeling Platform. |
| 2018 – 20191 yr 3 mos |
Risk Analyst, European Central Bank
IT Systems team and Risk Control team, Frankfurt am Main, DE
|
education
| 2015 – 2018 | MSc in Statistical Sciences University of Padova, 110/110 cum laude, Padova, IT |
|---|---|
| 2017 | Erasmus+, MSc in Statistical Data Analysis Ghent University, Ghent, BE |
| 2012 – 2015 | BSc in Statistics, Economics and Finance University of Padova, 110/110 cum laude, Padova, IT |
skills
| Python | pandas, NumPy, scikit-learn, XGBoost, SHAP, NLTK, PySpark; Matplotlib, Seaborn, Plotly, Altair; Streamlit, Jupyter, marimo |
|---|---|
| Data | SQL, Databricks, Palantir, Git and GitHub |
| Design | Adobe Illustrator, LaTeX |