Stefano Villata

Data Scientist Specialist @Ferrero

Alba, IT

Working in Consumer Shopper Understanding (CSU), leveraging data analytics to support decision-making and enhance product insights. Key projects included:• Marketing Mix Models: assessing the impact of promotional lever on sellout using Loyalty Cards and Circana data• Marketing research analysis: deriving insights from CAWI surveys conducted among Consumers and Shoppers• Shopper Decision Tree and MDS SKU maps: applying clustering techniques and decision tree models to understand purchasing behavior• Gain & Loss analysis: identifying volume shifts and cannibalization effects across products• Power BI dashboards: enabling self-service KPI analysis and sell-out tracking• Product reconciliation: using entity recognition and KNN to match discontinued SKUs with replacements• Early Performance Assessment for new products: segmentingshoppers and products to monitor market response• Experimental testing: evaluating the sales impact of new productlaunches and in-store promotional activities• Change management support: assisting Project Managers with change management activities, including impact and opportunity tracking, AS-IS vs TO-BE analysis, UAT coordination and training planningMain tool used:• Python• Databricks - Spark• Power BI• SQL

Politecnico di Torino

Laurea Magistrale LM, Ingegneria biomedica/medica

Liceo scientifico A.Monti

Maturità scientifica

Politecnico di Torino

1° livello - Laurea, Ingegneria biomedica/medica