Summary
David Espinola is a business intelligence analyst with eight years’ experience turning complex data into decision-ready insights for financial and higher-education organizations. He combines deep SQL, SAS, Tableau, and geospatial analytics skills to automate reporting workflows, detect fraud, and guide branch location and customer segmentation decisions that have generated measurable revenue and cost savings. At Citi he built and automated fraud detection/reporting systems that saved over $500K and reduced model storage, while at universities he cut reporting preparation from weeks to hours through scripted pipelines and Tableau server management. David also mentors analysts, rewrote legacy SAS into SQL to eliminate third-party costs, and has a strong applied math and geoinformatics background that informs his predictive modeling. Outside of work he’s a puzzle-loving weightlifter and Lego builder, hinting at a methodical, hands-on problem-solving style that shows up in his automation-first approach.
8 years of coding experience
6 years of employment as a software developer
University of Texas at San Antonio
French, Spanish