At Banco Nacional de México, I develop SAS programs, reusable macros, Python scripts, and SQL queries to process, transform, and validate datasets containing tens of millions of records.
I integrate data from multiple sources using SAS, SQL, Python, and PySpark, and automate processing, joins, aggregations, and data quality checks. I also run analytical tests across banking and insurance products, including backtesting and business-impact analysis.
At Instituto Federal de Telecomunicaciones, I developed Python scripts to extract, clean, transform, and analyze data. I also wrote SQL queries, maintained ETL workflows, supported database migrations, and performed geospatial analysis.
As a Data Analyst Academic Assistant at Universidad Nacional Autónoma de México and a Junior Data Analyst Intern at GASoluciones, I automated data processing, queried SQL databases, and prepared reports and visualizations with Power BI and Excel.
