Daniel Clement, Gisp
About Daniel Clement, Gisp
Daniel Clement is a GIS Data Engineer specializing in geospatial data for autonomous driving applications. He has a strong educational background in Geographic Information Systems and has worked in various roles related to geospatial analysis since 2017.
Work at Torc Robotics
Daniel Clement currently serves as a GIS Data Engineer at Torc Robotics, a position he has held since 2022. In this role, he specializes in creating and maintaining geospatial data specifically for autonomous driving applications. His work contributes to the development of navigation systems that rely on accurate geospatial information.
Education and Expertise
Daniel Clement holds a Master's degree in Geographic Information Systems from Penn State University, where he studied from 2020 to 2022. He also obtained a Graduate Certificate in Remote Sensing and Earth Observation and another in Geospatial Intelligence Analysis from the same institution. Additionally, he earned a Bachelor of Arts in Geography from the University of South Florida. His educational background supports his expertise in raster and vector map creation, essential for autonomous vehicle navigation.
Background
Daniel Clement began his career as a Geospatial Analyst Intern at DigitalGlobe in 2017, where he worked for three months in Tampa, Florida. Following this internship, he joined Maxar Technologies as a Geospatial Analyst, a position he held for five years until 2022. His experience in these roles has equipped him with skills in geospatial data processes, including automation using Python.
Technical Skills
Daniel Clement utilizes Python to automate complex geospatial data processes, which include extraction, transformation, and loading (ETL). His technical skills are complemented by his contributions to geospatial data visualization, which enhances the interpretability of spatial data for autonomous systems. This combination of skills is vital for the advancement of autonomous driving technologies.