Summary
Shivang Pandey is a doctoral candidate at Karolinska Institutet with eight years of experience applying geospatial data science and machine learning to climate, sustainability, and public health problems. His research focuses on the health impacts of hydroclimate extremes and integrates radar, satellite, reanalysis, IoT, and ground station data into spatiotemporal models that support adaptation efforts. He has built end-to-end data pipelines and cloud automation for organizations including UNDP and Mitti Labs, delivering actionable tools like on-the-fly snow maps, flood mapping with Sentinel-1 SAR, and air-pollution risk zoning. Skilled across Python, Google Earth Engine, Azure, PostgreSQL, and deep learning (YOLOv5 and custom spatiotemporal models), he bridges research and operational deployments. Colleagues know him as a quick study and effective communicator who turns complex datasets into reproducible insights and SOPs. Outside work he unwinds as a gamer and avid gallivanter, reflecting a restless curiosity that fuels both fieldwork and code.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Public Health, Doctor of Philosophy - PhD, Public Health at Karolinska Institutet
Master of Science, Geoinformation Science and Earth Observation, 7.67, Master of Science, Geoinformation Science and Earth Observation, 7.67 at Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente
Bachelor of Technology - BTech, Electronics and Communication Engineering (ECE), 7.19, Bachelor of Technology - BTech, Electronics and Communication Engineering (ECE), 7.19 at Guru Gobind Singh Indraprastha University
English, Hindi