Bio

Mr. Conner Schultz is an environmental consultant with experience in data collection, analysis, and management and in GIS. He extends his use of applications, such as ArcGIS and QGIS, with additional programming languages that include SQL and MATLAB®, to perform quantitative analyses and to develop supporting data visualizations. Mr. Schultz assists in analyzing both spatial and non-spatial data for a variety of projects, including environmental risk assessments, natural resource damage assessments, and RI/FSs. Since joining Integral in early 2019, he has been a contributing member to Integral’s sediment profile and plan view imaging (SPI–PV) data processing team. He supports the planning and design of SPI–PV field surveys, conducts image analysis, manages SPI–PV data post-processing and leads the GIS support. He also manages the development team responsible for analysis and visualization tools and has performed analyses to support the development of custom image processing algorithms using deep learning and machine learning methodologies. In addition, Mr. Schultz has served as a project manager for seven projects with responsibilities that include management of the technical team, cost management, resource allocation, and successful deliverable tracking and client communication.