Milan, Lombardy, Italy
I am a strategic data leader who bridges the gap between complex technical infrastructure and high-level business objectives. Currently serving as the Head of Data & Analytics at WeRoad, I oversee a full-cycle data ecosystem, managing a diverse team of Data Analysts, Data Engineers, Machine Learning Engineers, and Data Scientists. My focus is on the holistic application of data: not just as a reporting tool, but as a core pillar of enterprise growth. This includes defining AI strategies for analytics and modeling that drive real-world impact across the organization. Throughout my career spanning Fintech, Gaming, Sports Analytics, and Travel, I have specialized in: • Strategic Leadership: Designing and implementing data roadmaps that align with C-level priorities. • Full-Cycle Data Strategy: From engineering reliable data layers to delivering actionable insights for CEOs, CTOs, and Growth Officers. • Team Excellence: Building and scaling high-performing technical teams that turn raw data into a competitive advantage. • AI & Modeling: Orchestrating enterprise-level AI initiatives, from predictive modeling to automated decision-making.
Leading the data organization for one of Europe’s fastest-growing travel tech companies. I am responsible for the end-to-end data value chain, ensuring that data is a strategic asset for every department. • AI Strategy: Spearheading the enterprise data AI strategy specifically focused on advanced analytics and predictive modeling. • Team Leadership: Managing a multi-disciplinary team of Data Analysts, Data Engineers, Machine Learning Engineers, and Data Scientists. • Strategy & Governance: Developing and implementing robust strategies for data usage, security, and quality standards across the company. • Cross-Functional Collaboration: Partnering with C-level stakeholders (CEO, CTO, CGO) to identify, prioritize, and execute data-driven initiatives that improve business decisions. • Product Innovation: Contributing to the development of new data-driven tools and applications to enhance the user experience.
Managed the Analytics team responsible for the full analytical data pipeline, connecting business needs with technical capabilities. • Advanced Modeling: Applied ML algorithms for Segmentation/Tagging, ROAS Predictions, and Early Life modeling. • Data Infrastructure: Collaborated with Data Engineers to define and create sophisticated data layers and KPIs using DBT and SQL (Redshift, PostgreSQL). • Custom Tooling: Produced custom web apps for recurring and ad hoc reporting to streamline decision-making. • Stack: Python (Pandas, Scikit-learn), Grafana, Preset, Hex, Argo Workflows.
• Structured clean data pipelines to ensure ad hoc analyses were straightforward and scalable. • Defined the KPI framework used by the business to make analytically-driven decisions.
Led the Business Analytics Team through deep-dive analyses spanning all business units across multiple countries. • Prioritized high-impact requests based on a top-down view of company initiatives. • Investigated complex data sets to produce results that drove efficiency in international operations.
Tasked with bridging the gap between our technical work in Italy and the business side in the US, I take an analytical approach to connecting dots across the company and brainstorming solutions with internal stakeholders. Moreover, I investigate trends and anomalies on big data via the use of ETL procedures. In order to deliver actionable insights to the business, I predominantly use SQL to query our databases, Python to transform and analyze the data, and business Intelligence tools such as Tableau to create concise, user-friendly reports and dashboards for the business to digest.
Responsible for creating the models and algorithms for use in management consulting projects using tools such as R, SAS, SPSS, and VBA. Lead analytical consultant focusing on risk management, financial analysis, and credit scorecard modeling & testing via statistical procedures. In charge of providing various analyses to sports clubs and academies, including: Post-Game KPI Reports, Upcoming Rival Analyses, Monthly Trend Reviews, and Complete Player Profile Reports. Helped a historically top Brazilian team win its first major trophy in 15 years during the first year of working with Kin Analytics. Within 2 years, the team had won another major continental trophy