Daniel Kogan

Daniel Kogan is currently working as a GIS Developer at PiinPoint, utilizing statistical methods and machine learning techniques to provide market insights to clients. Prior to this, Daniel worked as a Research Assistant at Ryerson University, focusing on public opinion on automated vehicles in the GTA. At Dalhousie University, Daniel worked as a GIS Research Analyst at the Food Policy Lab, where Daniel was involved in various projects related to data management, mapping, and GIS tutorials. Daniel holds a Bachelor of Science in Psychology from Dalhousie University, an Advanced Diploma in Geographic Information Science and Cartography from NSCC, and is currently pursuing a Master of Spatial Analysis from Toronto Metropolitan University.