SASSETS: Statistical Modeling Applied To Credit Card Fraud Detection

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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_c... Thomas Matallana: https://www.linkedin.com/in/thomasmatallana?utm_source=share&utm_campaign=share_via&utm_content=prof... 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