Data Sciencist at MantleLabs , Austria
Carlos Rajadel is a dedicated Data Scientist specializing in remote sensing research for environmental monitoring at Mantle Labs in Austria 🌍. His expertise spans from forest mapping to soil organic carbon assessment for projects like REDD+ and ARR.
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Orcid
Education:
- MSc in Agricultural Engineering, Universidad Politécnica de Valencia, 2018 – 2020
- Bachelor’s Degree in Agricultural Engineering, Universidad Politécnica de Valencia, 2014 – 2018
Professional Experience:
Data Scientist | Mantle Labs, Austria | Sep 2021 – present Conducting remote sensing research for REDD+ and environmental projects. Remote Sensing Technician | Universität für Bodenkultur, Austria | Oct 2020 – Apr 2022 Developed flood detection algorithms and implemented crop classification techniques using cloud computing.
Technical Skills:
- Programming Languages: Python, Java
- Cloud Platforms: AWS
- GIS: QGIS, GDAL, rasterio, Google Earth Engine
- Machine Learning: TensorFlow, Keras, scikit-learn, SciPy
- Other: GitHub, Docker, Linux, VIM, AutoCAD
Languages:
- Native in Spanish
- Fluent in English (ACE Cambridge)
- Upper Intermediate in German
Academic Contributions:
2024 Publication: Rajadel-Lambistos et al., “Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series,” International Journal of Digital Earth, 17(1). 2020 Oral Presentation: AGU FALL Meeting on “Early crop mapping at continental scales derived from reconstructed high spatial resolution images.” 2020 Poster Presentation: Geo for Good Summit on “Looking for near real-time crop high resolution mapping classification using GEE.”
Training and Workshops:
- Actively engaged in various workshops and conferences focusing on remote sensing, GIS, and machine learning applications in agriculture and environmental sciences.
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