Sabrena Nasol

GIS professional with 8+ years of experience in geospatial analysis, remote sensing, spatial data management, cartography, web mapping, precision agriculture, hazard assessment, land-use planning, oil & gas mapping, and AI-assisted geospatial projects. Experienced in ArcGIS Pro, ArcGIS Online, QGIS, geodatabases, GPS mapping, raster/vector processing, Python/ArcPy, SQL, and spatial QA/QC and data validation.

GIS Specialist - SoilOptix

(2023-08 - 2026-05)

• Processed and validated soil survey and gamma-ray datasets; integrated lab, field and boundary data.
• Generated GIS-ready shapefiles, GeoPackages and raster outputs; performed nutrient analysis and QA/QC supporting precision agriculture projects.
• Key Achievement: Contributed to the successful delivery of multiple precision agriculture projects through the management and processing of complex geospatial and soil datasets.

Annotator - Xfinite

(2023-07 - 2023-07)

• Annotated and labeled images, satellite imagery, and geospatial datasets for AI and machine learning applications.
• Reviewed and validated annotations to ensure accuracy and consistency, following project guidelines and quality standards.
• Identified and corrected annotation errors during quality assurance.
• Key Achievement: Contributed to the development of accurate AI models by producing high-quality annotated datasets while consistently meeting quality and productivity targets.

GIS Specialist - Firmographs

(2021-11 - 2023-07)

• Managed spatial databases, converted large Excel datasets to GIS formats, and performed geoprocessing and GPS integration.
• Produced business mapping and client-ready spatial reporting.
• Key Achievement: Successfully transformed thousands of tabular business records into structured GIS datasets, enabling improved spatial analysis and decision-making.

GIS Engineer - DigiFarm

(2019-09 - 2022-12)

• Created and reviewed training datasets across 30+ regions; interpreted Sentinel-2 imagery and EVI composites.
• Supported AI and machine-learning mapping workflows through high-quality geospatial training data.
• Key Achievement: Played a critical role in the development of AI-driven agricultural mapping solutions through the creation of high-quality geospatial training datasets.

Junior Research Associate - UP NOAH Program

(2019-03 - 2021-08)

• Produced hazard, land-use, road network and thematic maps; conducted spatial analysis for municipalities.
• Supported CLUP, CDP, LCCAP and DRRM planning; generated COVID-19 mapping products.
• Key Achievement: Contributed to national hazard assessment and local government planning initiatives through the production of critical geospatial datasets and decision-support maps.

GIS Specialist - HLURB

(2018-01 - 2019-01)

• Digitized and standardized land-use and zoning maps; conducted QA and consolidation.
• Supported drone-assisted surveying operations.
• Key Achievement: Helped improve the accessibility and standardization of land-use and zoning information across multiple local government jurisdictions.

Bachelor of Science - Computer Engineering - Mindanao University of Science and Technology (2011 - 2016)