Diego Alexis Galván Sandoval

Responsible for developing ML models to understand customer behavior for international retail companies:

• Associative algorithms: FP-Growth to find patterns in purchases.
• Modified NLP techniques applied to product vectorization and recommendation systems.
• Propensity score models.
• Demand prediction, cross elasticity, cross-selling, etc.
• LLM with LandChain.

Creating technical and business presentations to showcase results.

Responsible for calculating the probability of default (PD) for the retail portfolios of credit cards and consumer loans following European regulations for reserve calculation. Developing and testing new technologies for the risk area in collaboration with the Spanish team.

Responsible for developing propensity score models for the credit card portfolio. This includes propensity for activation, best customer to call, best time to call, churn, etc.

• Automation of internal processes with routine programming.
• Information extraction with SQL scripts, creation of tables, updates, insertion, and deletion of records.
• Market Basket analysis, customer segmentation, analysis of at-risk customers.
• Design of dashboards in Excel, SAP BO Web Intelligence, and Qlik Cloud.

• Information extraction with SQL scripts
• Creation of calculation views in SAP HANA
• Design and execution of test matrices for reports in SAP BO Web Intelligence