stastistical-model

EEG-based cognitive state analysis during music listening using machine learning and deep learning models to identify relaxation and mental states.

Past stastical inference projects in R

Robust statistical model for predicting asylum application trends with social media.

A collection of R programming projects showcasing KNN classification, regression modeling, data analysis, and visualization techniques.

Built an F1 tyre-degradation and pit-strategy model from live race telemetry, catching and fixing a fuel-burn confound in the process. 18 tests, CI passing, real Silverstone 2026 data.

This repository contains the project that I done during the exam of Optimization Method of Data Science at Sapienza University of Rome.

clustering and classification techniques on e-commerce data.

Probabilistic ML analysis of Ti-685 alloy tensile & fatigue data under thermal conditions for gas turbine reliability. Includes risk quantification, bound curves, safety factor optimization, and comparison with alpha Ti alloys. Interactive Streamlit app for engineers.

The main objective of the Zometo Data Analysis project was to explore and analyze the Zometo dataset to gain meaningful insights into user behavior, product performance, and other relevant factors. By leveraging data analytics techniques, we aimed to uncover patterns, trends, and correlations with the data, ultimately providing valuable information

analysis of food which are preferred more during pandemic

Built GLMs in R using U.S. Census education data to analyze socioeconomic factors affecting student performance across school districts. Applied cross-validation and AIC-based model selection, and created visualizations and coefficient interpretations to communicate key academic outcome predictors.