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) field survey team. He supports SPI–PV field surveys, and conducts PV image analysis and SPI–PV data post-processing. Mr. Schultz also has performed analyses to support the development of custom image processing algorithms using deep learning and machine learning methodologies.