Hi, I am Joyce,
I specialize in turning both spatial and non-spatial data into decisions that matter. I engineer pipelines and models that drive actionable intelligence across multiple industries ranging from conservation, urban planning to infrastructure, healthcare, and beyond.
Quick Insights
Bits about my background
- MSc Geoinformatics candidate – University of Pretoria – thesis assessing geospatial accessibility of green open spaces and community amenities and applying deep learning & computer vision to asses urban walkability in the City of Tshwane.
- BSc Geoinformatics – University of Pretoria BSc Honours Geoinformatics – University of Pretoria
- Professional experience at Esri Eastern Africa, Swift Geospatial, and Gloceps.
- Technical stack: Python · PyTorch · TensorFlow · PostGIS · Google Earth Engine · ArcGIS · QGIS
- Legal right to work in Kenya; open to remote roles & global roles.
“The goal is to turn data into information, and information into insight.”— Carly Fiorina
Tech Stack
Tools I work with daily
What Drives Me
The principles behind my work
Evidence-based analysis
Every map, model, and recommendation grounded in real spatial data from fieldwork to real insights.
Accessible science
Geospatial insight should reach communities. I design outputs that non-specialists can understand and act on.
Continuous learning
From PyTorch scene classifiers to Web GIS development. I actively seek tools that deepen my capabilities.
Cross-sector impact
Conservation, urban planning, agriculture, infrastructure. spatial data is universal, and I thrive at the intersection.
Explore
Navigate through my work