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
  • Data Science Specialist Jul 2023 – Apr 2025 · 1 yr 10 mos
  • Senior Data Scientist Jul 2021 – Jun 2023 · 2 yrs
  • Data Scientist Oct 2019 – Jun 2021 · 1 yr 9 mos

Consultancy projects in CRM, credit risk and insurance for international banks and insurance companies:

  • Income estimation: a machine learning model estimating clients' income from their transaction history, to update missing or outdated self-declared data.
  • Cross-selling: improved feature selection and the model pipeline, giving agency operators more targeted customer lists.
  • Transaction categorizer: an NLP workflow classifying transactions of individuals and small businesses into a target taxonomy.
  • Skill map: a self-assessment tool tracking how the team's technical skills evolve, to support hiring and staffing.
  • Teaching: designed and taught two courses for the Prometeia Data Science Academy, Machine Learning and Data Visualization in Python, for internal teams and clients.
  • Supervision of junior analysts on client projects.

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
  • Risk Analyst Jul 2019 – Sep 2019 · 3 mos
  • Trainee Jul 2018 – Jun 2019 · 1 yr
  • Maintained and improved the IT infrastructure behind regular business tasks.
  • Developed applications to support migrations to new systems, such as new database tools and operating systems.
  • Contributed to monitoring and reporting for the risk control frameworks governing monetary policy and investment portfolios.
  • Refined the algorithm that calibrates tolerance bands for regular price checks.

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

Pythonpandas, NumPy, scikit-learn, XGBoost, SHAP, NLTK, PySpark; Matplotlib, Seaborn, Plotly, Altair; Streamlit, Jupyter, marimo
DataSQL, Databricks, Palantir, Git and GitHub
DesignAdobe Illustrator, LaTeX