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Almudena Paniagua VelaAV
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Almudena Paniagua Vela

@almudenapaniaguavela

Entry-level GIS and Remote Sensing Analyst focused on spatial automation and Sentinel-2 mapping.

New Zealand
Message

What I'm looking for

I’m looking for a remote GIS Analyst/Remote Sensing Analyst role where I can apply QGIS, Python automation, and Sentinel-2 mapping to real spatial data projects, with opportunities to grow in geoprocessing and environmental geospatial workflows.

I’m a GIS and Environmental Science professional with hands-on training in QGIS, Python for GIS, and remote sensing workflows. My background centers on spatial analysis, raster processing, and building reproducible mapping pipelines.

I’ve worked with Sentinel-2 imagery to generate NDVI and vegetation-related products, and I automated raster calculations and batch processing using Python/PyQGIS. In projects, I also built geoprocessing automation scripts for buffering, clipping, raster calculations, and layer management to reduce manual effort.

I’m careful about data quality—validating outputs, maintaining CRS consistency, and organizing vector/raster datasets using GeoPackage-based workflows. I’m now seeking a remote GIS Analyst / Remote Sensing Analyst role where I can apply technical GIS, automation, and environmental mapping skills to real-world spatial data projects.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

University of Málaga logoUM

University of Málaga

Bachelor's degree in Environmental monitoring, Environmental Sciences

2019 - 2023

Activities and societies: Projects included Sentinel-2 vegetation monitoring, NDVI/vegetation index generation, raster processing, and reproducible workflow documentation. Used QGIS/pyQGIS, GDAL, and automated batch raster calculations; supported CRS consistency and CRS/QA-QC checks.

Bachelor's degree in Environmental Sciences with hands-on GIS and remote sensing work using Sentinel-2 imagery. Built NDVI/vegetation monitoring workflows in QGIS and automated raster geoprocessing with Python/PyQGIS.

Tech stack

Software and tools used professionally

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