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Graduate in Data Science & Business Informatics (MSc) at University of Pisa, with a background in Computer Science (BSc)
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Managing-Disagreement-in-Interactive-Learning-A-Counterfactual-Explanation-Approach
October 20, 2025 – October 20, 2025
Framework for managing disagreement in interactive learning systems using counterfactual explanations and skeptical learning. Developed for the Master’s Thesis in Data Science and Business Informatics, University of Pisa.
View ProjectStatistics-for-Data-Science-Project
October 20, 2025 – October 20, 2025
Properties and Benefits of Calibrated Classifiers
View ProjectGenerative-AI-Education-Dashboard
October 20, 2025 – October 20, 2025
Construction of a dashboard with a Shiny app in R, addressing 5 questions on the use of generative AI in the education field.
View ProjectOptimization-for-Data-Science
October 18, 2025 – October 18, 2025
Solving an unconstrained optimization problem, based on the Extreme Learning Machine. The objective is to minimize the objective function (MSE) using the Quasi Newton BFGS method and the closed form solution with normal equations and Cholesky factorization.
View ProjectDecision-Support-Systems-Laboratory
October 18, 2025 – October 18, 2025
The project consists in a set of assignements corresponding to a BI process: data integration, construction of an OLAP cube, qurying of a OPLAP cube and reporting.
View ProjectDistributed-Data-Analysis-and-Mining
October 18, 2025 – October 18, 2025
Data Mining Project in a distributed environment using Spark
View ProjectData-Mining-1
October 18, 2025 – October 18, 2025
A repository for the RAVDESS dataset. It contains audio of 24 professional actors (12 female, 12 male), vocalizing two statements. Speech includes calm, happy, sad, angry, fearful, surprise, and disgust expressions, and song contains calm, happy, sad, angry, and fearful emotions. Each expression is produced at two levels of emotional intensity
View ProjectTweets-Toxicity-Analysis
October 10, 2022 – October 20, 2025
Project for extracting useful information from unstructured textual data from Tweets, utilizing techniques of computational linguistics, NLP, and machine learning, and leveraging sentiment analysis, text classification, topic modeling, and emotion analysis.
View ProjectRobustness-Analysis-of-Data-Stream-Algorithms
February 1, 2022 – October 20, 2025
Bachelor’s thesis project on the robustness analysis of data stream algorithms. Includes experimental evaluation of several classifiers (KNN, Naive Bayes, Adaptive Random Forest, etc.) using Scikit-Multiflow and bipolar disorder datasets.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and foundational knowledge in Data Science, aligning well with a Data Scientist role. The diversity of projects, from optimization to NLP and distributed data analysis, suggests a broad intellectual curiosity. However, the lack of team-based projects or professional experience makes it challenging to assess cultural fit regarding collaboration and workplace dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong initiative and self-directed learning ability, crucial for operational fit. However, without formal work experience or psychometric test results, it is difficult to assess soft skills like teamwork, stress handling, or communication clarity in a professional setting.