I am a geospatial analyst that currently works in the airport/aviation consultant world, and previously worked in the sensing and IoT world of agriculture. This is my GitHub profile where hopefully I can showcase my current and completed projects.
- 🌱 I’m currently deepening my understanding of Python for geospatial usecases among lots of other things. I will be learning how to perform database spatial queries using SQL and PostGIS/PostgreSQL
- I am an FAA Part 107 Certified Remote Pilot, and I am passionate about the growth of the Advanced Air Mobility (AAM) industry.
Please view my LinkedIn account for my full background.
GIS/GPS/GNSS:
- Esri Products (ArcGIS Pro, ArcGIS Online, Model Builder, 3D Analyst)
- Experience Builder, Web App Builder, StoryMaps, Dashboards
- BIM, CAD, GIS Data and conversion between
- VertiGIS
- GeoDa
- QGIS
- Google Earth Pro
- Trimble GNSS
- Emlid Reach GPS/GNSS
- UAV operation with RTK technology (M300 with Optical/Lidar, Mavic 3E/M, M600 with Hyperspectral, M210)
- Experienced field mapping with GPS and by hand (orienteering with map and compass, geologic mapping)
Softwares/Programs:
- Agisoft Metashape (Photogrammetry)
- TIBCO Spotfire (Statistical Analysis and Data Visualization)
- Microsoft Office Suite (Word, Excel, Powerpoint)
- Microsoft Sharepoint
- Google Workspace (Drive, Docs, Sheets, Slides, Forms)
- VSCode
- Spyder IDE
- Jupyter Notebooks
Other:
- Proprietary (Corteva Agriscience) cloud based location visualizer platform similar to ArcGIS Online StoryMaps
- Database storage with OneDrive, Box, Confluence
- Proprietary (Corteva Agriscience) cloud based data analysis and visualization tool used for in-field sensors (weather, soil moisture, evapotranspiration, eddy-covariance, greenhouse gas analyzers)
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Currently in the process of working on projects as well as learning new skills
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Here is my completion certificate for a Udemy course I completed on geospatial analysis using geopandas in python
