
Passionate about ML and NLP 🧠. CS student at EPFL🇨🇭. Love coding, building ML systems, and analyzing data👨💻.
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Swiss-Spark-Journey-Planner
September 21, 2022 – September 21, 2022
Journey planner that estimates trip success probabilities based on historical data using Spark and Hadoop
View ProjectPolitical-affiliation-predictor-from-quotes
February 8, 2022 – September 17, 2022
ada-2021-project-adaboy created by GitHub Classroom
View ProjectDeep-Learning-for-Parkinson-disease-research
February 8, 2022 – July 23, 2024
Exploring the feasibility of DNN models for the quantitative discrimination between different conformational species of α-synuclein
View Projectada-2021-project-datastory
December 12, 2021 – October 30, 2022
Data story Website of a Quotebank data analysis to build a political party classifier based on quotes, template from GitHub Pages
View ProjectML-Classifier-on-CERN-laboratory-data
November 9, 2021 – November 9, 2021
Classifier to predict the Higgs boson decay signatures from background noise. Project 1 of the CS433 Machine Learning course at EPFL.
View ProjectOnline-board-game-in-Java
October 5, 2021 – July 23, 2024
Digital recreation of a board game using Java, with full online multiplayer feature and graphical interface. Project for Software Engineering course at Politecnico di Milano.
View ProjectPoliMusic-a-musical-playlist-website-pureHTML-vs-RIA-
April 13, 2021 – September 25, 2022
A website that lets the user upload his songs on a server. It was made in two versions: Pure HTML (thin Client) and Thymeleaf Rich Internet Application (thick Client)
View Projecting_sw_2021_Radi_Sanchini_De_Sabbata
March 2, 2021 – September 4, 2021
Progetto Ingegneria Del Software 2021
View ProjectCultural Fit Analysis
The candidate's projects show a strong academic and personal interest in data science, machine learning, and software engineering. The diversity of projects, from political affiliation prediction to online board games, indicates a broad curiosity. However, without information on work experience or team-based projects, it's difficult to fully assess cultural fit beyond technical alignment. The target role is Data Scientist, and many projects align well with this, suggesting a good technical cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Project descriptions are brief and do not provide insights into collaboration, problem-solving approaches, or communication styles.