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Data Science | Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Iscte - Instituto Universitário de Lisboa
Master's degree in Computer Engineering
January 1, 2013 – January 1, 2014
Sapienza Università di Roma
Master's degree, Artificial Intelligence and Robotics
January 1, 2012 – January 1, 2016
University of Camerino
Bachelor of Science (B.Sc.), Scienze informatiche
January 1, 2009 – January 1, 2012
WeRoad
Senior Data & Machine Learning Engineer
November 1, 2024 – Present
Enel Group
Data Scientist
May 1, 2020 – October 1, 2024
Rome, Latium, Italy
iGenius, the AI company
Machine Learning Engineer
January 1, 2017 – October 1, 2019
Milano, Italia
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans different company types (startup, large enterprise), suggesting adaptability. The focus on AI/ML roles aligns well with a technical, innovation-driven culture. However, without project details, it's hard to assess collaboration or specific work style preferences.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.