RTD-A

Non-invasive characterisation of archaeological and artistic pieces.Artificial intelligence applied to analysis of cultural properties:• X-ray diffraction and fluorescence imaging;• automatic phase recognition.Tech stack: Python (Scikit-learn), optimization techniques, GitHub.

Working on Machine Learning projects, data analysis and data processing:• preventing fraudulent operations in production;• optimizing payment retries by card selection;• forecasting loss given by overdue;• monitoring fraud and overdue, detecting issues and proposing solutions;• building the network of orders, for model training and analysis.Tech stack: R, Python (Scikit-learn, Pandas), Redshift, SQL, DBT, GitHub, Tableau.

Working on Machine Learning projects:• characterization and classification of climates in different regions of the Earth;• customer segmentation and promotion strategy optimization for board games pub.Tech stack: Python (Scikit-learn, Pandas), Jupyter Notebook, AWS, SQL Server

Analysis and characterization of climate time series:• study of frequency obtained by Hilbert transform;• statistical correlations between different regions;• machine learning techniques for climate classification;• mutual influence in the framework of complex networks.Thesis: "Hilbert analysis of air temperature dynamics"

Theory and practice of Physics Lab (experiments on oscillations and waves)

Modelling of altruistic and selfish behaviours in collective games, analysed in the framework of complex networks.