Lisandro Cesaratto

Lisandro Cesaratto currently serves as a Data Scientist and Process Analyst at Villeroy & Boch, where he leverages his extensive expertise in data analytics, machine learning, and process optimization to drive digital transformation initiatives across the organization. In his role, Lisandro focuses on developing advanced data-driven solutions to enhance manufacturing efficiency, quality control, and supply chain management. His proficiency in Python, combined with his experience in deep learning and computer vision, enables him to lead projects such as object detection in production lines, which helps identify defects in real-time and reduces waste. Additionally, Lisandro is instrumental in implementing multivariate forecasting models that optimize inventory management and demand planning, ensuring the company remains agile in a competitive market.

His expertise extends to integrating Retrieval-Augmented Generation (RAG) techniques for knowledge management and natural language understanding, facilitating smarter decision-making tools for the organization. Lisandro’s work on process automation and digitalization aligns with Villeroy & Boch’s strategic goals to enhance operational efficiency through innovative AI solutions. His ability to collaborate across multidisciplinary teams, including engineers and business stakeholders, ensures that technical solutions are tailored to real-world manufacturing challenges. With a strong foundation in data science, time series analysis, and visualization tools like Seaborn and PostgreSQL, Lisandro continues to contribute to Villeroy & Boch’s reputation as a leader in digital craftsmanship, transforming traditional processes into intelligent, automated workflows that support sustainable growth and quality excellence.