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Machine Learning and Big Data Scientist at Vodafone, Senior
GITHUB : https://github.com/AntoPi I help business stakeholders to reach better performances with ML predictions and explanations. 11+ years experience with Machine Learning and Artificial Intelligence. 5+ years experience with leading Data Scientist teams and productionizing ML solutions. 3+ years experience developing ML on Google Cloud Platform, Vertex AI and Big Query. 1 year experience with LLM prompt engineering and fine-tuning for question answering and summarization. I am curious, persistent, aware of human factors and have great passion for technology and teamwork. Key skills and tools: - Management of technical and non-technical stakeholders. - Formulation of business problems, e2e technical solutions and A/B testing with live campaigns. - Deep Learning for customer lifetime value and journey optimization, buy and churn propensity. - Data Analysis, Regression, Classification and Clustering for predictive and explainable solutions. - Code: SQL, PySpark, Python, Scikit-Learn, Tensorflow, Keras, Pythorch, Pandas, Numpy, ONNX, C++, Visual Studio Code. - LLM : Llama, Mistral, Lora, Bert, DistilBert, Bart, Llama Guard. - MLOps: Github, Jenkins, Airflow, Cloud Build.
Italian Institute of Technology
Doctor of Philosophy - PhD, Machine Learning for Human Robot Co-operation
January 1, 2010 – January 1, 2013
Politecnico di Milano
Master of Science (M.Sc.)
January 1, 2006 – January 1, 2009
Brunel University of London
Erasmus Student
January 1, 2006 – January 1, 2007
Vodafone
Machine Learning and Big Data Scientist, Senior
March 1, 2019 – Present
Milan, Lombardy, Italy
Accenture
Data Scientist @ ICEG AES Machine Learning Center of Excellence
October 1, 2017 – March 1, 2019
Milan Area, Italy
Techedge Group
Consultant | Data Science for Industry 4.0
November 1, 2016 – September 1, 2017
Milan Area, Italy
Roadrunnerfoot Engineering srl
R&D Mechatronics
November 1, 2015 – July 1, 2016
Milan Area, Italy
Laboratorio Elettrofisico Engineering srl
Robotics and Automation Engineer
November 1, 2013 – June 1, 2015
Milan - Shanghai
IIT - Italian Institute of Technology
PhD Student
January 1, 2010 – April 1, 2013
Genova
Politecnico di Milano
Researcher
November 1, 2009 – December 1, 2009
Milano
Finetuning Large Language Models
DeepLearning.AI
June 24, 2026 – Present
Open Source Models with Hugging Face
DeepLearning.AI
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various industries (Telco, Manufacturing, Banking, Energy) and companies (Vodafone, Accenture, Techedge) suggests adaptability and a broad perspective, contributing positively to cultural fit. Their academic background and continuous learning (certifications) indicate a proactive and growth-oriented mindset. The focus on human-robot interaction in their PhD also points to an interest in practical, impactful applications of AI.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and communication skills through their experience leading teams and propagating scientific knowledge. Their background in agile methodologies and stakeholder management suggests good operational fit for collaborative, fast-paced environments. The ability to translate business problems into ML solutions and conduct A/B testing indicates a results-oriented approach.