Currently studying in Bologna, where I am attending the European Master of Official Statistics (EMOS).
Currently enrolled in my final master's year, I have been cultivating my interest in machine learning applications. I have studied in different European universities, thanks to my three Erasmus+ study exchange programs; these are: Alma Mater Studiorum - University of Bologna (Italy), University of Seville (Spain), University Complutense of Madrid (Spain) and the École Nationale de la Statistique et de l'Analyse de l'Information (France).
These experiences allowed me to construct a solid statistical background, plus advanced programming skills in R, Python and SQL, in addition to software for database management. By exploiting statistical methods and leveraging the power of machines, it is possible to make sense of data and therefore to address efficient solutions to today’s and future needs.
In the button below you can download my updated CV:
Download ResumeI AM REALLY GOOD AT THE FOLLOWING TECHNICAL SKILLS
90%
60%
80%
75%
50%
80%
60%
100%
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