Matteo Prata
Data ScientistResearch Engineer @ Leonardo
Leonardo
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research Engineer @ Leonardo
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Leonardo
Data Scientist
June 26, 2026 – Present
DeepRL-Class
November 24, 2023 – November 29, 2023
Deep Q Network (DQN-CNN) in Pytorch for Self Driving Cars. 🤖🏎️
View ProjectLOBCAST
October 13, 2022 – May 9, 2024
LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈
View ProjectUAV-Swarm-Simulator
March 17, 2022 – March 18, 2022
UAV-Swarm-Simulator is a Python simulator for experimenting networks of unmanned aerial vehicles.
View ProjectNet-MARS
October 24, 2021 – October 5, 2023
Net-MARS is a framework to visualize and process real computer network topologies, simulate network disruption scenarios, test network recovery algorithms.
View Projectuavsimulator
April 7, 2021 – April 21, 2021
UAV-Simulator is a Python simulator for experimenting networks unmanned aerial vehicles.
View ProjectDroNETworkSimulator
October 14, 2020 – November 3, 2022
Simulator for Course of Autonomous Networking a.a. 20-21
View ProjectAI4Trading
October 13, 2020 – December 16, 2021
Artificial Intelligence for Trading (AI4Trading) formative activity at Sapienza University of Rome.
View ProjectCNN-Self-Driving-Car
January 10, 2019 – September 8, 2023
Self-Driving Car Exploiting Supervised Learning via a CNN.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on Python-based simulations and machine learning, indicating a strong individual contributor profile. While this shows initiative, the lack of diverse team projects or broader technology exposure might suggest a narrower cultural fit for roles requiring extensive cross-functional collaboration or diverse tech stack experience. The experience level is listed as 0, which contradicts the current Data Scientist role, making it difficult to accurately assess cultural fit based on professional growth.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but no direct communication or collaboration examples are provided. Psychometric test results are not available.