At COMPARTAMOS BANCO, I updated transition matrices through a statistical model that improved PAR 8–60 forecast accuracy from 80–85% to 95%. The projections support a sales force tool for proactive risk management.
I also automated reporting with Python and VBA for datasets exceeding 3 million records, reducing preparation time from 4 hours to 35 minutes. I deliver executive reporting and analytical insights to Business Directors.
Previously, at COMPARTAMOS SERVICIOS, I developed a Python solution to identify customers affected by operational reward-delivery issues. It reduced processing time from 1.5 hours to 45 minutes and enabled benefit delivery to all affected customers. I also analyzed branch performance and developed Excel/VBA tools and KPI dashboards during my internship at BANCO SANTANDER.
