Biagio Antonelli
Data AnalystML/AI Engineer @Revolut
Revolut
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML/AI Engineer @Revolut
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning enthusiast. Passionate about Deep Learning & Generative AI applications
The University of Edinburgh
MSc, Artificial Intelligence
January 1, 2017 – January 1, 2018
Università degli Studi di Napoli Federico II
Master's degree, Management engineering
January 1, 2012 – January 1, 2015
Università degli Studi di Napoli Federico II
Bachelor's degree, Logistics and production engineering
January 1, 2009 – January 1, 2012
Revolut
Deep Learning Engineer (NLP)
February 1, 2025 – Present
Barcelona, Catalonia, Spain · Remote
Glovo
Machine Learning Engineer
April 1, 2022 – January 1, 2025
Barcelona, Catalonia, Spain
Viapontica AI
Machine Learning Engineer
March 1, 2020 – December 1, 2021
Greater London, England, United Kingdom
Fractal Labs
Machine Learning Scientist
November 1, 2018 – March 1, 2020
London, Greater London, United Kingdom
Amazon
MSc Artificial Intelligence summer project
June 1, 2018 – August 1, 2018
Edinburgh, Scotland, United Kingdom
Grimaldi Group
Data Analyst - UK marine operations
June 1, 2015 – August 1, 2015
Grimaldi Group
Data Scientist
November 1, 2014 – August 1, 2017
Conditional GANs For Painting Generation
January 1, 2018 – June 1, 2018
Generative Adversarial Network with Spectral Normalization that has been conditionally trained on images of oil paintings of faces of people, extracted using OpenCV, from the PainterByNumbers and BAM datasets, with conditioning labels created using Microsoft Face API.
SIS 2016 - Società Italiana di Statistica (Statistical Italian Society)
June 1, 2016 – Present
Ship Fuel Consumption control and engineering approach to fault detection
GST 2016 Copenaghen - Managing Big Data for effective ship performance monitoring (speaker)
March 1, 2016 – Present
Title of the Presentation: Multiple Linear Regression model to ship fuel consumption monitoring
Exploratory Data Analysis by Johns Hopkins University
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist's Toolbox by Johns Hopkins University
Coursera Course Certificates
June 24, 2026 – Present
Introduction to complexity
Santa Fe Institute
June 24, 2026 – Present
Getting and Cleaning Data by Johns Hopkins University
Coursera Course Certificates
June 24, 2026 – Present
R Programming by Johns Hopkins University
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning - Stanford University
Coursera
June 24, 2026 – Present
IELTS level 7
British Council
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research (University of Edinburgh, Amazon project), personal projects (GANs), and industry roles in various companies (Revolut, Glovo, Viapontica AI, Fractal Labs, Grimaldi Group). While the recent experience is heavily focused on Machine Learning Engineering and Deep Learning, the earlier roles as a Data Analyst and Data Scientist at Grimaldi Group, along with relevant certifications, indicate a foundational fit for a Data Analyst role. The transition from Data Analyst to ML Engineer and back to a Data Analyst target role suggests adaptability and a broad interest in data-related fields. However, the strong emphasis on ML/AI might indicate a preference for more advanced analytical or modeling tasks rather than pure data analysis.
Soft Skills & Operational Fit
The candidate's resume highlights experience leading a Machine Learning team and collaborating with academics, suggesting strong leadership and teamwork skills. The project descriptions are clear and concise, indicating good communication. However, without specific psychometric test results, a detailed assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.