I use geospatial data, remote sensing, and Python to turn location-based information into clear maps and practical decision-support outputs. My portfolio focuses on health access, education, climate risk, conservation, and urban service inequality.
I am available for remote freelance, contract, and part-time GIS or data-analysis work.
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Congo Basin Conservation and Hornbill Hotspots
An interactive conservation-mapping project using synthetic hornbill telemetry, protected and conserved areas, and hexagon hotspot analysis to highlight locations that may deserve closer conservation attention.
Open the live web map →
Open the live dashboard →
View the complete GitHub case study →
A public ArcGIS Online web map for exploring protected and conserved areas and their geographic distribution.
An interactive ArcGIS Dashboard for exploring protected and conserved areas, mapped area, IUCN designations, designation types, and country-level patterns.
- GIS data cleaning, preparation, and quality checks
- Buffer, overlay, spatial join, and proximity analysis
- Choropleth, thematic, vulnerability, and risk maps
- Satellite-image analysis using Sentinel-2, Landsat, NDVI, and CHIRPS
- Google Earth Engine workflows and raster exports
- Python data cleaning, analysis, and charts with pandas and matplotlib
- ArcGIS Online web maps, dashboards, and StoryMaps
- Professional map layouts, reports, and NGO-style decision briefs
Combined county population, health-facility, and hospital-bed data to identify areas under higher service pressure. The project includes Python cleaning and analysis scripts, charts, four thematic maps, metadata, and a final report.
Skills: Python, pandas, matplotlib, ArcMap, data cleaning, spatial joins, indicator development, thematic mapping
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Combined CHIRPS rainfall and Sentinel-2 NDVI indicators to screen drought-stress priority areas in Kenya for 2023.
Skills: Google Earth Engine, remote sensing, CHIRPS, Sentinel-2, NDVI, raster classification, overlay analysis
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Combined Landsat 9 land surface temperature and Sentinel-2 NDVI to map five environmental heat-vulnerability classes across Nairobi County.
Skills: remote sensing, land surface temperature, Sentinel-2 NDVI, raster analysis, climate-risk mapping, cartographic design
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Analyzed mapped schools, health facilities, roads, and water points at ward level to identify differences in urban service availability and priority areas for closer assessment.
Skills: urban GIS, open-source data, clipping, spatial joins, service-gap indicators, ward-level mapping
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Analyzed 37,930 mapped schools, including 29,097 primary and 8,833 secondary schools. The project uses proximity buffers and spatial joins to compare school distribution and county totals.
Skills: buffer analysis, coordinate systems, spatial joins, point mapping, choropleth design
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- Flood Exposure Screening for Schools and Health Facilities — DEM classification, river buffers, facility exposure screening, and county summaries.
- Healthcare Facility Proximity Analysis — health-facility distribution, 5 km proximity zones, and county facility counts.
| Area | Tools and skills |
|---|---|
| Desktop GIS | QGIS, ArcMap |
| Web GIS | ArcGIS Online, ArcGIS Dashboards, StoryMaps |
| Remote sensing | Google Earth Engine, Sentinel-2, Landsat, NDVI, CHIRPS, DEM analysis |
| Data analysis | Python, pandas, matplotlib, Excel |
| Spatial analysis | Buffers, spatial joins, overlays, raster analysis, proximity and vulnerability mapping |
| Communication | Professional map layouts, 300 dpi exports, GIS reports, metadata, and decision briefs |
- Clarify the decision question and required deliverables.
- Review data quality, coordinate systems, and limitations.
- Complete a documented and reproducible analysis.
- Deliver clear maps, organized files, and a concise explanation of the results.
- State uncertainty honestly and avoid presenting screening indicators as confirmed facts.
I am open to remote GIS mapping, spatial analysis, remote-sensing, data-cleaning, and reporting projects.