Predicting Turnover, Saving Millions: Heineken's $6M Workforce

I led the Turnover Prediction project at Heineken to accurately forecast employee turnover rates and tenure across different locations in Brazil. By leveraging advanced data analytics and predictive modeling, this project optimizes workforce planning and resource management. As a result, Heineken saves $6 million annually by minimizing turnover-related disruptions and costs. This initiative enhances operational efficiency and supports a stable, well-managed workforce, ensuring Heineken maintains high performance and employee satisfaction.

As seen in (Article in Portuguese):

https://forbes.com.br/forbes-tech/2023/12/ceo-da-heineken-conta-como-usa-ia-e-por-que-um-clevel-nao-deve-temer-a-tecnologia/