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Physics of Data, Padua, Italy.
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Human-Activity-Recognition-using-Wifi
June 10, 2026 – Present
Exam project of Neural Network and Deep Learning course, 2025-2026. Aim of the project is to train a neural network model for human activity recognition from wifi signals.
View ProjectSDRG-Implementation-and-Analysis
March 20, 2026 – Present
In this project we replicate the SDRG algorithm for random transverse field Ising model and analyse it as done in https://arxiv.org/pdf/2501.02643
View ProjectCavity-Blockade-simulation
February 2, 2026 – Present
Cavity-Blockade-simulation — GitHub repository
View ProjectInformationTheoryProject
December 15, 2025 – Present
InformationTheoryProject — GitHub repository
View ProjectBayesian-Analysis-of-ARPAV-time-series-on-temperatures-and-precipitations
September 3, 2025 – September 18, 2025
ARPAV (Agenzia Regionale per la iPrevenzione e Protezione Ambientale del Veneto) is an agency widespread over the territory that collects and analyzes environmental data. The aim of the project is to analyze the data available in three stations from 1993 to 2021, where the environment is quite different, and study the evolution over time.
View ProjectCHSH-inequality-violation-and-QST
July 7, 2025 – July 10, 2025
In this project we verify experimentally the violation of (CHSH) Bell's inequality and perform a quantum tomography through linear inversion and maximum likelihood estimation.
View ProjectAnomaly-detection-and-Predictive-maintenance-for-industrial-devices
June 26, 2025 – August 30, 2025
Anomaly-detection-and-Predictive-maintenance-for-industrial-devices — GitHub repository
View ProjectLCP-Mod-B-Exercises
February 25, 2025 – April 6, 2025
LCP-Mod-B-Exercises — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic or personal research-oriented, focusing on theoretical and experimental aspects of data science and physics. This suggests a strong inclination towards research and analytical problem-solving. The diversity of project topics (e.g., human activity recognition, quantum mechanics, environmental data analysis) indicates intellectual curiosity and adaptability. However, without information on collaborative projects or professional experience, it is difficult to fully assess cultural fit within a typical industry setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technically focused, but do not provide insight into collaboration, problem-solving approaches, or communication style in a team setting.