MSc in Artificial Intelligence
University of Pavia, University of Milan (Statale) and University of Milano-Bicocca
AI and data science
MSc student in Artificial Intelligence, Pavia and Milan
I work on machine learning for healthcare and for commerce, and I like checking what a model has actually learned before trusting it. Before my master’s I spent ten months as a Data & AI intern at Accenture, and since 2020 I’ve run my own online brands.
How my X-ray model sees 1,047 images
Two degrees, three universities
Both of my degrees come from the same joint programme in Artificial Intelligence, run together by the University of Pavia, the University of Milan and the University of Milano-Bicocca.
University of Pavia, University of Milan (Statale) and University of Milano-Bicocca
University of Pavia, University of Milan (Statale) and University of Milano-Bicocca
Developing an automated dashboard for syndromic surveillance: a data-driven approach to public health threat detection
Twelve on GitHub, one in progress
Select a project for the full story. Three of them include charts you can play with, built from the results saved in their repositories.
NextExperience
Work alongside study, since 2020
My own e-commerce brands since 2020, a Data & AI internship at Accenture and an IT internship at Notre-Dame University.
Fiber X and Skiniti
Accenture
Notre-Dame University technology center
Tools, methods and languages
Tools with a number appear in that many of my public projects. Select one to see them.
Five languages, from native Arabic to beginner German.
Pavia, Italy
Email is the quickest way to reach me. You can also find my code on GitHub, my profile on LinkedIn, and download my CV.
Validation split, 1,047 images. Moving the threshold doesn’t retrain anything; it changes how sure the model must be before it calls pneumonia. Lower catches more cases and raises more false alarms.
Query time, PostgreSQL vs MongoDB
Sentiment per month
Same 2,955 posts, two readings. Switch models to see how different the story looks.