Daylan Salmerón Gómez is a data analyst with expertise in poverty monitoring, geospatial analysis, and household survey harmonization. Currently serving as a consultant with the World Bank and UNICEF, he has supported global poverty estimation, child poverty research, and the production of key policy outputs by managing large datasets, developing R and Stata workflows, and ensuring data quality control protocols across Sub-Saharan Africa and beyond. With a B.A. in International Economics and multilingual proficiency (English, Spanish, French, Portuguese), he combines strong programming skills with experience in project coordination, data systems management and cross-team collaboration.