• Joined the Data Science team working on retention models.

Develop AI products that help to improve the logistics business. Tools: Python, Spark, DataBricks, Sagemaker, Docker, Airflow.

• I improved the ETA model, testing different features in the feature engineering phase.
• I developed a segmentation that helped to increase the NPS improving the rider’s earn.
• I developed a forecast for the groceries business, using heuristic methods.
• I built different scrapping tools.
• I carried out A/B test to detect opportunities of AI applications.
• Work in collaboration with iFood Brasil.

Realize complex analysis of the clients through advanced analytic models to identify actions that allow to achieve the bank’s objectives.

• I developed a clients' microsegmentation, that allowed lead better strategies to the commercial area.
• I improved the Next Best Action model, using machine learning metodologies.
• I built a churn model that helped to reduce the churn rate.
• I developed a prescriptive model that allowed lead strategies when the pandemic started.