At Instituto Geográfico Agustín Codazzi, I applied an alternative predictive modeling method to estimate urban cadastral valuation increases, with a solution that can reduce cadastral update costs by up to 90%. I also analyze large datasets and support the automation of routine tasks.
At Departamento Administrativo Nacional de Estadística, I led a multivariate anomaly-detection project for the Censo Económico Nacional Urbano and developed machine learning and deep learning models. My work across public institutions, research organizations, and Universidad de los Andes has included statistical and econometric analysis, survey research, and tools for monitoring and visualizing results.
