I'm Davide Fabroni and I'm a Mathematical Engineering student at Politecnico di Milano.

My studies are focused on Machine Learning and Statistical Learning, leveraging both classical statistics methods and modern architectures.

• Master of Science in Statistical Learning track of Mathematical Engineering at Politecnico di Milano 🇮🇹
• Semi-annual Exchange at School of Science of Aalto universtity 🇫🇮
• Bachelor of Science in Mathematical Engineering at Politecnico di Milano 🇮🇹

• Estimating Clients' Needs using Machine Learning : Exploited machine learning techniques to create a cross-platform web-app to recommend products based on clients' needs.
• Statistical analysis on biomechanical parameters: Linear regression for forecasting biomechanical parameters of the spine and ANOVA.
• Bayesian data analysis on driver's skills in MotoGP: Hierarchical models on the influence that driver's ability and motorcycles quality have on the result of a race.
• Mixed and functional analysis models for studying Heart Failure (re)-hospitalizations: Advanced statistical models applied to patients with a heart failure desease.
• PINN applied to rlc circuit: Physics-informed neural network for solving ordinary differential equations in RLC circuits.
• Accelerometer and GPS data detection for stride analysis: Data collection and Signal processing toolbox for stride analysis. Third place at MATLABthon @Polimi 2023 🥉

Enjoy my repositories! 🚀