Milan, Lombardy, Italy
Data Science & AI leader with +20 years of experience. • Expertise: Applied Statistics, Machine Learning, AI (Deep Learning, NLP, LLMs), Data Science. • Business expertise: MBA | Marketing, Risk Management, Consulting experience. • Leadership: Proven track record of leading data science teams and managing stakeholders. • Impact: Delivered innovative AI solutions across banking/finance, insurance, oil and gas, telecommunications, and advertising. End-to-end project experience, stakeholder management. • Tools: NumPy, Pandas, Scikit-learn, XGBoost, PyTorch, TensorFlow, Keras, Hugging Face Transformers • Passion: Continuous learning, driving innovation, and sharing knowledge. Author of 15+ books, speaker at meetups, lecturer at workshops and universities. Kaggle Competitions Grandmaster & Google Developer Expert.
• Spearheaded the development of in-house innovative AI and ML models for credit risk and real-time fraud detection. • Enhanced credit risk assessment models, significantly improving the estimation of Non-Performing Loan (NPL) recovery rates. • Fine-tuned advanced Natural Language Processing (NLP) and Large Language Models (LLMs) to proactively identify and assess Environmental, Social, and Governance (ESG) and other non-financial risks within extensive textual datasets. • Contributed to the risk management framework for AI models, ensuring robust cataloging, comprehensive risk evaluation, and adherence to emerging AI regulations. • Played a pivotal role in team growth by leading the hiring process and providing mentorship to junior data scientists, fostering a culture of continuous learning and development within the risk management department.
• Guided a high-performing team to deliver robust machine learning models, fostering a culture of innovation and excellence. Successfully audited our AI portfolio and drafted a comprehensive development plan to align with key business objectives. • Engineered and deployed advanced fraud detection models from the ground up, delivering significant savings within the first year of implementation. • Developed a suite of marketing models that significantly improved customer engagement through targeted up-selling, cross-selling, and churn reduction campaigns. Contributed to sophisticated actuarial price modeling with machine learning. • Pioneered an innovative solution for automatic claim estimation by integrating image analysis, telematics, and traditional data.
• Served as the primary bridge between business stakeholders and the technical team, ensuring our data science initiatives delivered tangible business value. • Provided technical leadership across all projects, mentored a team of data scientists, and fostered a culture of data-driven innovation. • Selected to represent Italy as the lead data scientist at the international Data Innovation Lab in Paris, contributing to global analytics projects.
• Devised and implemented an innovative approach to optimize our insurance service networks, resulting in significant savings. • Led the initiative to overhaul our fraud detection capabilities, improving the existing rule-based and graph-based systems to achieve relevant annual savings. • Leveraged car telematics data to build sophisticated predictive models for pricing and reserving, creating new value from existing data streams. • Contributed to a next-best-action recommender system and conducted deep learning-based customer feedback analysis to improve customer experience. • Implemented novel image analytics and deep learning techniques for automated material and physical damage estimation.
Machine learning and information retrieval for search engine understanding and SEO optimization.