
I'm a Data Science graduate from the Polytechnic University of Turin with a solid background in Artificial Intelligence. Over the past two years, I've been working as a Video and Data Analyst in professional football, and along the way I've also picked up sports-related certifications to deepen my tactical and technical knowledge. This combination of my academic foundation in data science and AI with hands-on experience in football analytics and specialized sports certifications has really shaped how I approach bridging the gap between data and the pitch. I'm passionate about continuous learning and I'm always looking to expand both my technical and tactical skills, while pushing for data to be seen as a strategic competitive advantage.
My goal? To become a go-to person within a club, turning complex data into insights that actually make a difference on the field.

08/25 - Current
Aug 2025 - Current
Hard Skills
Soft Skills

06/25 - Current
Jun 2025 - Current
Development and teaching of courses for the Sport Data Analyst programme:
Hard Skills
Soft Skills

06/25 - Current
Jun 2025 - Current
Responsible for the data analysis module, in which I demonstrate how data can also be utilised in amateur categories.
Soft Skills

Purpose: Creation of a new index that can represent a player's overall offensive contribution
Starting with the Offensive Threat Index, created ...

Purpose: Dashboard to quantitatively analyze the performance of two teams and their players during a game.
The data are scraped from Fbref.com trough Beatiful soup and than processed and ...
Purpose: Dashboard to optimize player research across the big 5 eurpean leagues.
The project is organized into 3 sections:

Purpose: Dashboard to analyze the first build up of my team.
The dashboard allows you to view maps of the movements of the two central defenders.
To collect data, I uploaded the video of the ma...

Purpose: Cluster players based on their playing style extracted from sequences of events.
Starting from teams' possesion sequence we extracted the players' sequences. Than the players' sequences...
This project was considered the best during the selection process for an internship with a French professional team.
Purpose: Create a web app to analyze players' performance during a whole s...

Sport Data Campus
03/25 - Present
Grade: Not yet defined
The program aims to train specialists in advanced machine learning and deep learning for enhancing sports performance and event management.

Polytechnic of Turin
10/21 - 04/24
Grade: 110/110
Thesis
3DYogaSeg: A New Dataset and Benchmark for Skeleton-Based Action Recognition and Segmentation in yoga videos

University of Perugia
09/18 - 10/21
Grade: 110/110 cum laude
Thesis
Creation and analysis of methods based on computer vision strategies for inter-row detection in agricultural robotics applications

Catapult
05/25 - 05/25
An official certification that enable to work with Catapult Technologies

FIGC
07/24 - 08/24
The course aims to provide the necessary training and cultural supports to individuals who may be called upon to carry out, on behalf of clubs, activities of technical-tactical analysis, video-digital archiving and collection of statistical data of players and teams.
Project
Individual Offensive Threat Index

SICS & Soccerment
04/24 - 05/24

WyLab
10/23 - 01/24
Project
Analysis of footballers' playing style based on sequences of events

WyLab
06/23 - 07/23
Project
Match Report Generator, dashboard to generate post-match reports of the matches of the 2022/2023 Serie A season

Sport Data Campus
03/25 - Present
Grade: Not yet defined
The program aims to train specialists in advanced machine learning and deep learning for enhancing sports performance and event management.

Polytechnic of Turin
10/21 - 04/24
Grade: 110/110
Thesis
3DYogaSeg: A New Dataset and Benchmark for Skeleton-Based Action Recognition and Segmentation in yoga videos

University of Perugia
09/18 - 10/21
Grade: 110/110 cum laude
Thesis
Creation and analysis of methods based on computer vision strategies for inter-row detection in agricultural robotics applications

Catapult
05/25 - 05/25
An official certification that enable to work with Catapult Technologies

FIGC
07/24 - 08/24
The course aims to provide the necessary training and cultural supports to individuals who may be called upon to carry out, on behalf of clubs, activities of technical-tactical analysis, video-digital archiving and collection of statistical data of players and teams.
Project
Individual Offensive Threat Index

SICS & Soccerment
04/24 - 05/24

WyLab
10/23 - 01/24
Project
Analysis of footballers' playing style based on sequences of events

WyLab
06/23 - 07/23
Project
Match Report Generator, dashboard to generate post-match reports of the matches of the 2022/2023 Serie A season

Sport Data Campus
03/25 - Present
Grade: Not yet defined
The program aims to train specialists in advanced machine learning and deep learning for enhancing sports performance and event management.

Polytechnic of Turin
10/21 - 04/24
Grade: 110/110
Thesis
3DYogaSeg: A New Dataset and Benchmark for Skeleton-Based Action Recognition and Segmentation in yoga videos

University of Perugia
09/18 - 10/21
Grade: 110/110 cum laude
Thesis
Creation and analysis of methods based on computer vision strategies for inter-row detection in agricultural robotics applications

Catapult
05/25 - 05/25
An official certification that enable to work with Catapult Technologies

FIGC
07/24 - 08/24
The course aims to provide the necessary training and cultural supports to individuals who may be called upon to carry out, on behalf of clubs, activities of technical-tactical analysis, video-digital archiving and collection of statistical data of players and teams.
Project
Individual Offensive Threat Index

SICS & Soccerment
04/24 - 05/24

WyLab
10/23 - 01/24
Project
Analysis of footballers' playing style based on sequences of events

WyLab
06/23 - 07/23
Project
Match Report Generator, dashboard to generate post-match reports of the matches of the 2022/2023 Serie A season