Daniel Florez Thomas

Economist from Universidad de los Andes and current master’s student in Data Analytics Intelligence at the same institution. Recognized for efficient humanitarian data analysis at iMMAP and 3iSolutions, with notable contributions to the BHA projects and currently within the EVIDEM consortium, supporting evidence-based decision-making. Possesses advanced proficiency in tools such as Python, R, SQL, Stata, Microsoft Excel, as well as visualization platforms like Power BI and Tableau. Has significantly contributed to reports, analyses, and dashboards for UN organizations, particularly in providing forecasts for OCHA on figures related to affected populations and events concerning armed conflict and natural disasters in Colombia. His practical approach, ability to deliver swift solutions in critical situations, and expertise in predictive modeling and large-scale data analysis position him as a highly skilled and dedicated analyst