National Administrative Department of Statistics (DANE) · full time
Jan 2026 – Present · 8 mos · Bogota D.C. Colombia
● Apply AI-assisted and predictive approaches to geospatial validation workflows, including automated detection of potential spatial inconsistencies and the use of accuracy indicators to support QA/QC decisions. ● Update methodologies and technical procedures for validating Rural and Agricultural Master Frame (MMRA) geographic levels using satellite imagery and AI tools. ● Support the design and improvement of quality-control protocols for land-cover and crop-domain validation, integrating satellite imagery, administrative records, and secondary sources. ● Perform spatial and thematic validation of MMRA clusters; define accuracy and consistency indicators; document inconsistencies for continuous improvement. ● Participate in dashboard-based monitoring and in the exploration of artificial intelligence, predictive modelling, and automated-detection tools to strengthen geospatial processes.
National Administrative Department of Statistics (DANE) · full time
Jan 2016 – Nov 2025 · 9 yrs 10 mos · Bogota - Colombia
● Built, updated, validated and quality-controlled the Rural and Agricultural Master Frame (MMRA), product-specific frames and geographic levels. ● Integrated satellite imagery, administrative records, secondary sources and field data; consolidated geospatial databases at departmental and national scale. ● Performed geospatial QA/QC covering topological, thematic, geometric and alphanumeric consistency; reviewed cartographic products; coordinated workloads. ● Provided geographic support for sample selection and results analysis; contributed to methodologies, manuals, schedules and technical reports.
University "Franciso Jose de Caldas" · Forestry Engineering
Jul 1995 – Dec 2202
Universidad Militar Nueva Granada · Geomatics and Sciene of the earth
Jan 2016 – Nov 2025
Pontificia Universidad Javeriana · Data Science
Jun 2026 – Dec 27