
MSc student of Automation and Robotics Engineering @ University of Naples Federico II
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ICO_FinalProject
November 11, 2025 – November 11, 2025
MPC for Powered Descent Guidance and Control of a Lander
View ProjectFSR_FinalProject
June 18, 2024 – November 4, 2025
Geometric Controller with Artificial Potential method for trajectory planning of a quadrotor UAV drone
View ProjectDACPSD_Duckietown
June 15, 2024 – June 15, 2024
Distributed control of a Duckiebot's fleet
View ProjectFSR_HW4
June 9, 2024 – June 9, 2024
Homework #4 of the "Field and Service Robotics" course
View ProjectRL_HomeWork4
December 16, 2023 – November 4, 2025
Autonomous navigation of a mobile robots using SLAM algorithm an OpenCV
View ProjectRL_HomeWork3
December 6, 2023 – November 4, 2025
Vision-based control of IIWA 14 7-DoF Robot Manipulator with ROS using OpenCV
View ProjectRL_HomeWork2
November 27, 2023 – November 4, 2025
Control of IIWA 14 7-DoF Robot Manipulator with ROS with circular and linear trajectory using both trapezoidal and cubic polynomial velocity profile
View ProjectRL_HomeWork1
November 1, 2023 – November 4, 2025
Control of a 4-degree-of-freedom Robot Manipulator with ROS
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on robotics, control systems, and embedded programming, which aligns partially with the analytical and problem-solving aspects of a Data Scientist role. However, there is a lack of explicit data science, machine learning (beyond reinforcement learning applications in robotics), or statistical modeling projects. This suggests a potential gap in direct cultural fit for a pure Data Scientist role without further upskilling or a role specifically blending robotics with data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on technical execution.