Customer segmentation analysis (sociodemographic and behavior in service channels) as support for the development of digital projects. ● Support in the creation of business cases for the development of new digital initiatives with a direct impact on the customer experience.

Development of a customer segmentation model for Personal Line Credit Card products.

Development of analytical models to identify anomalies in the operation of Call Center agents and implementation of customer segmentation techniques to support the definition of inbound campaign strategies.

Design and implementation of machine learning models for the early prediction of Churn for the Nestlé client.

Development of an analytical model for the identification of omitted and inaccurate taxpayers (PN and PJ) (with errors in the values presented in their tax and/or customs declarations) through the use of computer tools (Oracle SQL, Python and Modeler) in favor of facilitate the management of inspection programs. ● Design of techniques/processes to automate the purification and analysis of exogenous information in order to identify and reduce the number of homonomy errors.

Increase in the value of the Natural Person Income tax collection due to correct evaluation and identification of non-paying taxpayers PN.