M.Sc. in Computer Engineering @ University of Padova
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Università degli Studi di Padova
Data Scientist
June 27, 2026 – Present
ESA-Spacecraft-Anomaly-Challenge
March 18, 2025 – March 18, 2025
Anomaly detection on real-life satellite telemetry ESA dataset
View ProjectCobot-Task-Scheduling
December 17, 2024 – June 3, 2025
Deep-RL scheduling research project for human robot applications in iNest (Spoke 5), 2024/25.
View Project3D-Data-Processing-course
July 13, 2024 – July 13, 2024
Homeworks from the 3D Data Processing course, UniPD, 2022/23
View ProjectNatural-Language-Processing-course
July 12, 2024 – July 12, 2024
Natural-Language-Processing-course — GitHub repository
View ProjectFind-Significant-Statistics-and-Relationships-in-Music-Networks-with-Node-Features
July 10, 2024 – July 12, 2024
Final project for the Learning From Networks course, UniPD - DEI, 2022/23.
View ProjectFetch-and-Delivery-Behaviour-for-an-Assistance-Robot
July 10, 2024 – July 10, 2024
Final project for the Intelligent Robotics course, UniPD - DEI, 2022/23.
View ProjectNeural-Dependency-Parser
November 1, 2023 – July 9, 2024
Final project for the Natural Language Processing course, UniPD - DEI 2022/23.
View ProjectReinforcement-Learning-course
November 9, 2022 – November 21, 2024
Labs and homeworks from the Reinforcement Learning course, UniPD - DEI, 2022/23
View ProjectBig-Data-Computing-course
May 8, 2022 – July 12, 2024
Homeworks from the Big Data Computing course, UniPD, 2021/22
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic and personal, indicating a strong drive for learning and exploration in data science. However, the lack of professional experience beyond a current academic role (starting in 2026, which seems like a future role or an error in data) and limited team-based project descriptions make it difficult to fully assess cultural fit for a corporate environment. The diversity of project topics (NLP, RL, anomaly detection, network analysis) suggests adaptability and a broad interest in the field.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, providing no insight.