Horia Camarasan is a Geospatial Data Scientist with extensive experience in environmental engineering and remote sensing. Proficient in Python, R, and SQL, he specializes in geospatial data analysis, machine learning, and environmental impact assessments. Horia has collaborated with the European Space Agency, developing advanced algorithms and leveraging parallel computing techniques (such as Dask, Xarray, PySPARK) to accelerate the processing of large Earth observation datasets, improving computation efficiency by up to 20%. This expertise extends to geospatial data applications for energy efficiency, including optimizing land use, improving resource management, and monitoring the environmental impact of energy projects and natural hazards. Horia's work with high-resolution satellite data and tools like SNAP, QGIS, and ArcGIS has contributed to improved environmental monitoring and the development of sustainable practices. He holds an MSc in Sustainable Development and Environmental Engineering from Babeș-Bolyai University, where he graduated as valedictorian.