Technical Proficiency
Core Competencies
Proficiency levels reflect hands-on experience from KU coursework, group projects, and personal practice — updated 2025.
GIS & Remote Sensing
ArcGIS Pro85%
ArcGIS (Desktop)82%
QGIS92%
Google Earth Engine70%
ERDAS Imagine65%
GPS / DGPS Survey80%
Drone Photogrammetry60%
AutoCAD / Civil 3D75%
Spatial Database
PostgreSQL / PostGIS70%
Spatial SQL Queries68%
QGIS DB Manager72%
MySQL / SpatiaLite55%
Web & WebGIS
HTML5 / CSS385%
Leaflet.js82%
JavaScript (ES6+)68%
OpenLayers52%
GeoServer / WMS / WFS48%
GeoJSON / Shapefile / KML88%
Programming
Python (GeoPandas, Shapely)72%
Java58%
C60%
C++55%
MATLAB55%
R (Spatial Statistics)48%
Software & Libraries
Tools I Work With
QGIS 3.x
ArcGIS Pro
Leaflet.js
Python / GeoPandas
Google Earth Engine
GDAL / OGR
ERDAS Imagine
AutoCAD Civil 3D
Global Mapper
OpenLayers
GeoServer
PostgreSQL / PostGIS
Agisoft Metashape
Trimble GPS
Leica Total Station
MATLAB
R / RStudio
Git / GitHub
Microsoft Excel
LaTeX
DJI Drone Suite
ESA SNAP
Video Editing
Java
C / C++
Human Skills
Soft Skills
Spatial Reasoning
Translating complex terrain data into clear visual narratives.
Analytical Thinking
Breaking multi-layer geographic problems into systematic steps.
Technical Writing
Documenting GIS workflows, project reports, and analysis methodology.
Teamwork
Group projects, field survey teams, and quiz competition coordination.
Fast Learning
Quickly adapting to new GIS tools, APIs and workflows.
Communication
Presenting spatial findings clearly to technical and non-technical audiences.