Experienced geospatial professional adept at processing high-resolution elevation imagery and publishing LiDAR, Rasters, and derived products to The National Map. Skilled in evaluating and resolving systematic data issues, spearheading data audits, optimizing workflows, coding Python scripts, implementing software solutions, and collaborating across departments to develop effective geoprocessing practices.• Processing high-resolution elevation imagery to meet 3DEP specifications and publishing LiDAR, Rasters, and derived products to The National Map.• Assumed sole responsibility for departmental operations due to staffing changes, demonstrating proficiency in independently managing all facets of workflow and ensuring continued productivity and success.• Diagnosing and creating solutions to address systematic issues in data (LAS, DEMs, vectors) and processing workflows• Utilizing Python programming, crafting scripts to address a spectrum of challenges in geospatial data manipulation and management within diverse projects.• Improving workflows, help sheets, code repositories, and writing Standard Operating Procedures for the 3DEP product generation workflow & contributed data editing efforts to ensure consistent geoprocessing practices across the operational unit.• Initiated and co-led a cross-departmental restricted data audit spanning hundreds of projects across the entire United States to identify and address current data delivery procedure deficiencies, strategically overhauling workflows, and reprocessing data as necessary.• Mentoring and training employees, including the successful onboarding of three new hires.• Conducting internal training sessions for groups, ensuring comprehensive knowledge transfer in data production, editing, and troubleshooting procedures.

As a temporary Project Manager (4-month detail), I led bi-weekly sprint, scrum, and planning meetings, fostering effective communication and streamlining project execution with a development team. Collaborating closely with stakeholders, I managed external expectations, preventing project overload, and cultivated realistic timelines while delivering transparent and accountable weekly and monthly updates on yearly goals to upper management.• Led bi-weekly sprint, scrum, and sprint planning meetings with the development team to enhance communication and streamline project execution.• Collaborated with stakeholders to discern priorities, address tool requests, and identify obstacles in workflows. Translated stakeholder requirements into actionable development tasks.• Managed external stakeholder expectations, proactively preventing project overload and cultivating realistic timelines to align with project goals and team capabilities.• Delivered concise and insightful weekly and monthly status updates on yearly goals to upper management, ensuring transparency and accountability.• Owned JIRA boards, meticulously documenting bugs, and creating new tasks, stories, and epics based on valuable stakeholder feedback.• Orchestrated project workflows for a team of five developers, ensuring efficient distribution of workloads and maintaining a balanced project pipeline.• Implemented a proactive feedback system, regularly seeking input from developers to gauge workload satisfaction and address potential bottlenecks or concerns promptly.

Utilizing a diverse range of technologies, including AWS, GeoServer, QGIS, GDAL, Python, Global Mapper, ESRI Products, LasTools, and LP360, I contributed to the advancement of the USGS 3D-Elevation Program by integrating large disparate geospatial vector datasets, fixing data inaccuracies and conducting research on data discrepancies and enhancements to workflow processes. • Supported and enhanced data operations workflows through 3DEP geospatial data research using ESRI, Python, LP360, LasTools, and Global Mapper, and communicated research findings • Automated geoprocessing of vector data with Python leading to a standardized national-extent vertical accuracy checkpoint geodatabase.• Prototyped geoprocessing cloud environment with AWS Ubuntu EC2 & S3 services, and used QGIS, GeoServer & GDAL to demonstrate geoprocessing capabilities in the cloud• Identified and fixed data blunders in the Seamless USGS DEMs for The National Map to ensure data integrity.• Created USGS training tutorials for importing, exploring and manipulating LiDAR data for The National Map o For published examples on The National Map see:  Lesson 10c1: https://www.usgs.gov/media/videos/lesson-10c1-importing-data-global-mapper  Lesson 10d1: https://www.usgs.gov/media/videos/lesson-10d1-importing-data-lp360

Provided lab instruction, tutoring, substitute lectures, feedback on student’s exams, papers and lab reports and consistent email communication. Recognized as the 2018 Graduate Teaching Assistant of the year for my dedication leading GIS and Remote Sensing labs, creating an open and encouraging environment for student’s questions and mastery of concepts.Classes:GEOG 3200 – Remote Sensing- An introduction to basic remote sensing collection, processing, and interpretation. Interactive labs use ENVI to familiarize students with the visible, infrared, thermal and microwave portions of the electromagnetic spectrum, spectral reflectance patterns of the earth’s surface, supervised & unsupervised classifications, and spectral indices to analyze land cover and land usesGEOG 2100 - Introduction to Geographic Information Systems (GIS)- This introductory course provides an overview of basic geographic and spatial data concepts and fundamental uses of GIS technology. Hands-on labs introduce students to cartographic principles, projections, datums, digitizing, georeferencing, vector and raster data types, and spatial data analysis for real-world scenarios.GEOG 1410 - People, Places & Landscapes- Global Human Geography, this course examines locations, patterns & history of human geography and how they relate to human environment and behavior historically through the current era.