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.
Master of Science in Data Science @University of Trento
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"
Bachelor Degree in Interfaces and Communication Technologies @University of Trento
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