With close to four years of experience across the European Central Bank and the World Bank, I specialize in the development and management of cross-country financial sector datasets at the international standard-setting level. My work spans statistical methodology, data infrastructure, and policy-oriented analysis — with a consistent focus on modernizing data systems and expanding coverage to emerging dimensions of financial sector monitoring.
I have studied across four European universities through three Erasmus+ exchange programs: Alma Mater Studiorum - University of Bologna (Italy), University of Seville (Spain), Universidad Complutense de Madrid (Spain), and the École Nationale de la Statistique et de l'Analyse de l'Information (France).
These experiences shaped both my statistical foundation and my ability to work effectively across cultures and languages. I leverage advanced proficiency in R and Python to translate complex datasets into actionable outputs for cross-functional teams operating at the frontier of global financial governance.
In the button below you can download my updated CV:
Download ResumeI AM REALLY GOOD AT THE FOLLOWING TECHNICAL SKILLS
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ALL THINGS ARE DIFFICULT BEFORE THEY ARE EASY
An article pubblished in Data & Policy. An R shiny dashboard to surface 2020 excess mortality data
An accurate implementation of machine learning models for an HR Analytics problem, namely to predict the attrition rate of employees within a company.
Performing Machine Learning models on Boston Crime data
Analyzing unemployment in Spain with Python, by connecting with a IBM Db2 database
This is a short analysis aimed to implement some tools to harvest data online and analyse them
A documentation site about Python.
How increasing digitalization across governments, namely e-government services, could lower more effectively the corruption levels in a cross-national point of view.
Implementation of CART Algorithm for Regression Tree in order to assess COVID-19 cases
Analysis of a survey about the overall satisfaction with a swiss restaurant
PREVIOUS ASSOCIATIONS THAT HELPED TO GATHER EXPERIENCE