I am a Data Scientist with a Human-Computer Interaction background. I enjoy analysing, manipulating and visualising data while building architectures and models capable of extracting value and insight from it. In my academic and professional career, I acquired skills mostly in the fields of Data Science and Machine Learning, studying and internalising different methods, techniques and tools.

The course, held entirely in English, is structured to provide graduates with an in-depth theoretical, methodological and technical knowledge of Mathematics, Statistics and Computer Science. In order to shape wellrounded Data Scientists able to operate in a wide variety of settings, specific domain expertise is provided in areas such as Social and Political Sciences, Psychology and Economics.

Thesis collaboration at @Fondazione Bruno Kessler in the field of Data Science & AI for Health: "Enhancing Reproducibility and Interpretability in Crohn's Disease and Ulcerative Colitis Detection"

The course is aimed at training graduates with skills in the technical-computer, cognitive and social aspects of Communication mediated by Information Technologies. It is a multidisciplinary course covering subjects such as Cognitive Science, Computer Science and Programming, Mathematics, Design, Sociology and Cognitive Ergonomics.

Thesis project concerning the development of a Natural Language Processing Web App: "Flask & NLP: Graphical User Interface for Text Annotation"

In this GitHub profile, you can find repositories presenting university course projects covering various areas of Data Science and Machine & Deep Learning, including:

• 🔎 Data Mining (Recommendation Systems);
• 🛢️ Big Data Technologies (Apache Airflow integration);
• 🌍 Geospatial Analysis and Representation;
• 🌐 Advanced Social Network Analysis;
• 👁️ Computer Vision;
• 🔠 Natural Language Processing (POS tagging application);
• 📈 Statistical Learning