I hold a degree in Mathematical Engineering and I am currently pursuing a Master's degree in Statistical Learning.

Passionate about various aspects of statistics, I am currently mastering nonparametric methods, Bayesian models, and machine learning techniques. My interests also extend to programming languages such as C++, Python, and R, which I use on a daily basis. Additionally, I am proficient in MATLAB and GAMS, the latter being used for optimization models.

Tentative modeling of lithium market and it's impact on the evolution of the battery prices using WITCH model

using non-parametric methods to predict music tastes based on non invasive personal data

Spatial temporal clustering using DRPM and SPPM bayesian modelling

Analysis of students happines in Europe using linear mixed models and Mixed effect random forest

• classifier for recognising if a plant it's healthy or not based on transfer learning
• time series forecaster with LSTM and transformer architecture + a self made meta learner

• Monopoly (wip)
• Corridor bot (wip): building a bot based on machine learning and Game Theory techniques
• Sudoku solver: with the constraint of not using tree searching strategies

• study planner
• program to do recurrent study to learn a large amount of theorems ( Analisi 2, Analisi 3, Real and Functional Analysis)

Feel free to connect with me on LinkedIn: LinkedIn Profile

For any inquiries or collaboration opportunities, you can reach me at [email protected].