An enthusiastic, self-motivated, technology-savvy spatial data scientist proficient in GIS software to collect, analyze and map geospatial data for informed decision-making. Experienced in data visualization and statistical data analysis as well as programming language such as Python and SQL, with a strong background in environmental resource management, remote sensing, digital cartography, urban planning, climate change, disaster risk management and humanitarian aid. A quick learner, detail-oriented, strong analytical skills, excellent technical writing skills, good communication skills and a good team player.