Python for Geospatial
Danny Sheehan is a geospatial analyst, researcher and solutions engineer. He has worked as a Geographic Information Systems (GIS) Analyst with AECOM, as a Senior Geospatial Research Scientist at Columbia University’s Mailman School for Public Health at the Department of Epidemiology, the Institute for Social and Economic Research and Policy working primarily with the Built Environment and Health Research Group and is currently a Solutions Engineer with CARTO. Having extensive experience with proprietary GIS software, such as ArcGIS, as well as Free and Open Source Software for Geospatial (FOSS4G) tools, he often leverages the Python programming language for reproducibility, data management and for documenting geoprocessing steps and workflows. Danny has co-authored research papers in American Journal of Public Health, American Journal of Preventive Medicine, American Journal of Epidemiology, Environmental Health Perspectives, Cancer Causes & Control, Clinical Gastroenterology and Hepatology, etc. He has instructed several GIS courses at Barnard College and Columbia University and holds an M.A. in Geography/Specialization in GIS from University at Buffalo, a B.A. in Geography from Geneseo and a Certification of Professional Achievement in Data Sciences at the Columbia University Institute for Data Science and Engineering.