Milan, Lombardy, Italy
With over 12 years of experience in AI and Data Science, I specialize in bridging the gap between advanced AI capabilities and real-world business objectives. As Lead Data Scientist for Direct-To-Consumer Assortment Intelligence at EssilorLuxottica, I direct the strategy and implementation of AI systems that optimize operations across 18,000+ retail stores globally. My focus is moving beyond Proof of Concepts to deliver robust, production-grade solutions that drive real efficiency and measurable ROI. I am also an active AI Trainer and Consultant, helping professionals cut through the hype and actually use AI effectively. I ship real things into production: AI chatbots, AI automations, apps, internal tools for the businesses that need them. I build with AI every day, and while I reach for whatever tool best solves the problem, my daily driver is Claude. I live at the frontier: new model releases, agentic workflows, the latest research. If it shipped this week, I have probably already tested it. That hands-on builder mindset is what I bring into every client engagement and training session. What drives me is the intersection of three things: powerful technology, real human adoption, and tangible impact. I am not interested in AI for its own sake. I am interested in what it changes. And beyond the build, I love creating community around AI: bringing curious people together to learn and experiment, from internal AI events to the Milan tech scene. If you are working at the frontier of AI, let us connect.
Leading the Data Science unit for Global Retail & DTC Assortment Intelligence, optimizing assortment strategies across a network of 18,000+ Retail stores and Direct-To-Consumer channels. I lead a team of data scientists and own the full lifecycle of AI initiatives, from ideation and prototyping to full-scale production deployment. Key Responsibilities: - Strategic Leadership: Defining the roadmap for AI and Machine Learning integration within Global Retail & DTC operations, ensuring alignment with global business goals. - Scalable AI Implementation: Overseeing the development of robust forecasting engines, anomaly detection systems, and clustering algorithms that drive automated decision-making at scale. - Operational Efficiency: Transforming manual, legacy processes into automated, data-driven workflows to enhance speed and accuracy across the DTC network. - Team Development: Mentoring and leading a high-performing team of Data Scientists, fostering best practices in Data and MLOps, code quality, and agile methodology. - Internal AI enablement (talks, training, hands-on sessions) to spread AI adoption across the organization. - Delivered measurable business impact: license savings, multi-FTE efficiency gains, and incremental revenue.
I help teams and non-technical professionals actually use AI well, and I ship production-grade solutions: AI Agents, LLM chatbots, AI automations, and internal tools deployed for dozens of businesses across different industries. What I do: - AI training: tailored workshops on Generative AI, LLMs, agents and automation, for audiences from beginners to technical teams. - Advisory: guiding clients spot high-impact AI use cases and avoid the common implementation traps. - Solution delivery: designing and building AI Agents and automation systems end-to-end, from use-case scoping to production rollout. Recognized as a Vetted Pro on Fiverr (5/5 rating across 100+ projects).
Corporate Leadership: Co-Chair of the Italian Diversity & Inclusion Team, driving cultural initiatives and fostering an inclusive workplace environment.
Led the design and deployment of scalable AI & Machine Learning solutions across multiple international markets, focusing on audience measurement and panel intelligence. Key Responsibilities: - Global ML Initiatives: Directed the development of predictive models (Time Series, Classification, Clustering) to analyze viewing behaviors, forecast trends, and optimize panelist retention across 40+ countries. - Scalable Architecture: Engineered automated, end-to-end data pipelines using Big Data and Cloud technologies to handle massive datasets efficiently. - Stakeholder Management: Acted as the technical bridge between data teams and business leadership, presenting actionable insights and strategic recommendations to senior management and clients.
Consultant within X-Tech, the "Big Data & Advanced Analytics" Center of Excellence. - Key Project: Delivered an NLP-based Churn Prediction system for Sky Italy, directly supporting retention and upselling strategies. - Impact: Developed text-mining algorithms to enhance customer profiling and optimize marketing campaign effectiveness.
Selected for the intensive SAS Masterclass in Big Data & Analytics. - Consultancy: Operated as a Data Science Consultant for Value Lab, building ETL pipelines and interactive BI dashboards to drive business insights using the SAS ecosystem. - Training: Gained deep technical expertise in SAS Programming, Visual Analytics, and Hadoop integration.