Tech Stack
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Experience
My professional journey.
Data Science Intern — Gen AI
Leithà S.r.l. (Gruppo Unipol) · Milan, Italy
Feb 2026 - Present
- Built POCs for document ingestion pipelines: OCR → LLM → structured extraction with performance evaluation.
- Developed complex prompts (multi-prompt, agentic, tool-use) using LangChain, LangGraph, and PydanticAI.
- Orchestrated AI workflows and agents; used NotionAI to improve the internal knowledge base.
- Experimented with ML & AI in the cloud across Google Cloud, AWS, and Azure.
PythonLangChainLangGraphPydanticAI
Google Cloud
AWS
AzureMarket Data Collector
Modus S.r.l. · Florence, Italy
Sep 2023 - Feb 2024
- Conducted 300+ quantitative and qualitative interviews in retail environments.
- Gathered primary market research data used for business intelligence reporting.
Education
My academic background.
Master of Science
Data Science
Università degli Studi di Padova · Padova, Italy
Sep 2024 – Present
- Pursuing a Master of Science in Data Science (English programme), expected graduation Q3 2026.
- Deepening expertise in statistical learning, deep learning, NLP, and large-scale data processing.
- Courses include: Machine Learning, Deep Learning, Big Data, Statistical Inference, and Data Mining.
Bachelor of Science
Statistics
Università degli Studi di Firenze · Florence, Italy
Sep 2021 – Jul 2024
Grade: 94/110
- Developed a strong foundation in probability theory, inferential statistics, and data analysis.
- Applied Python, R, SQL, and Stata for statistical modelling and exploratory data analysis.
- Thesis focused on applied statistical methods and predictive modelling techniques.
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Based in Florence, Italy · Open to remote & hybrid roles
Open to opportunities
Interested in Junior Data Scientist roles, Gen AI projects, and research collaborations. MSc graduation expected Q3 2026.