At Crabi, I developed a customer risk-segmentation model based on claims frequency that optimized renewal pricing and reduced loss ratio by 30%. I also build end-to-end reports and dashboards using PostgreSQL, PySpark, AWS Glue, S3, Redshift, Streamlit, and QuickSight.
Previously at Beiersdorf, I created KPI and master-data health dashboards for Mexico and Brazil, contributing to a 20% improvement in master-data quality. I bring 5+ years of experience across analytics, data engineering, machine learning, and operational reporting, alongside advanced studies in Data Science, Big Data, and Deep Learning.
