Hello there, I'm Elisa 🧚

About me

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.

📚 Education

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.

✒️ Master's Thesis

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.

✒️ Bachelor's Thesis

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

About my GitHub

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

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