Team Name SASSETS Track BANKING Use Case For the modeling process, advanced statistical techniques will be employed, enabling not only the identification of existing patterns in the data but also the prediction and prevention of potential fraud. In this way, the aim is to optimize the use of financial resources and strengthen security mechanisms in transactions. Technology Principal component analysis (PCA), clustering analysis, regression models (logistic regression), decision trees, analysis of the appropriate statistical model, parameter estimates, evaluation, selection and adjustment of the model are made. Region LATAM Team lead Cristian Felipe Barrera-Quintana: @Cristianbaqui  Team members Thomas felipe Matallana: @tmatallana  Sandra Vergara: @svergarac  Andrés Hortua:  @andfelhor  Social media handles Cristian Barrera: https://www.linkedin.com/in/cristian-barrera-032a30195?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app Thomas Matallana: https://www.linkedin.com/in/thomasmatallana?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app Andrés Hortua: https://www.linkedin.com/in/andfelhor/ Is your team interested in participating in an interview? Yes Optional: Expand on your technology expertise Sas Viya, R, Python   ... View more