Consulting to SAS for the following projects: - Incocredito: Development of fraud models for new and old businesses. - Banco Popular: Implementation of models for the commercial, payroll and credit card segment. - Banco Davivienda: fraud model to identify compromise points, developing the input ABT and the modeling process.

Old merchant and new merchant fraud model appropriate to customer scope and business use.

Application of statistical models based on machine learning (Random Forest, SVM, Naive Bayes, Neural Networks, KNN, K-means, PAM, among others) and classic statistical models (logistic regression, linear regression, generalized linear regression, among other techniques)

Development of the model for unbanked people