Summary
Daniel Sherwood is a data-driven reporting programmer with 11 years of experience translating complex datasets into actionable insights across academia, local government, and private sector clients. He combines a strong biomedical engineering research background with hands-on expertise in R, Python, SQL (Impala), Tableau, PowerBI and ArcGIS to build dashboards, optimize queries, and design data warehouses that support mission-critical decisions. At EY he engineered analytics and ETL solutions for large federal datasets—tracking military health readiness and auditing billions in funding—while at 3M he applied machine learning and clustering to reveal multimillion-dollar revenue impacts. He’s comfortable moving between statistical modeling, spatial analysis, and production-grade SQL/stored-procedure engineering, and he mentors colleagues on query optimization and visualization best practices. Based in San Antonio, he’s perpetually learning—balancing rigorous research methods from his MS with pragmatic, operational analytics for public- and private-sector stakeholders.
11 years of coding experience
3 years of employment as a software developer
University of Texas at San Antonio