About me
From data to decisions: I am a Data Scientist with an M.Sc. in Statistical Sciences from the University of Padua, focused on statistical modelling, machine learning and AI-driven solutions.
In the 2026/2027 academic year I am an Adjunct Professor, teaching Laboratory: Informatics in the M.Sc. in Management for Sustainable Firms.
My passion is statistics applied to football: my B.Sc. thesis modelled Expected Goals, my M.Sc. thesis the Expected Threat.
Experience and Education
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2026/27
Adjunct Professor
Dept. of Economics and Management · UniPD
Course leader for Laboratory: Informatics (M.Sc. in Management for Sustainable Firms), taught in English: Excel for business data analysis, charts and dashboards.
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2024 – 2026
M.Sc. in Statistical Sciences
University of Padua
Thesis on Markov processes on general state spaces to estimate the Expected Threat: how much each possession brings a team closer to a goal, starting from match tracking data.
1st place at Stat Data Camp 2026, a hackathon in Cortina sponsored by Geolander.it: end-to-end analysis of complex data and presentation of the solutions.
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2025 – 2026
Teaching Assistant and Tutor
University of Padua
Tutoring and lab support for Mathematical Analysis, Computer Systems I and Data Structures and Programming.
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2020 – 2024
B.Sc. in Statistics for Technology and Science
University of Padua · 107/110
Thesis on classification models for Expected Goals and Expected Points in football.
Projects
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Vinted Market Intelligence
Web Scraping and Business Analytics
About 2,000 listings collected with Selenium and enriched with Google Trends, to estimate the price of an item and map the brands that share the same wardrobe.
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Football Analytics
Expected Goals and Expected Points: my B.Sc. thesis
Expected Goals estimated on 52,792 StatsBomb shots with seven classification models, and a Monte Carlo simulation turning them into Expected Points.
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Academic NLP Classifier
NLP and AI applied to the University of Padua
Scraping of the whole Padua course catalogue and prediction of the School a course belongs to from its syllabus alone, with a tree and a neural network.
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Bio-Analytics
Modelling the Growth of Cyanobacteria (Nostoc)
Continuous biomass production of a Nostoc cyanobacterium: how cultivation factors drive growth, measured as optical density.
Skills
Technologies
Methods
Languages