Experience
A record of internships, contracts, and research that have shaped my geospatial and data science practice.
Work History
Professional roles and internships
- Digitized 3,000+ building footprints from high-resolution satellite imagery for infrastructure and electrification planning initiatives.
- Performed detailed spatial data quality control, validating geometry and attributes to ensure clean, well-organised datasets suitable for analysis and reporting.
- Developed and maintained a responsive WordPress website that improved access to policy and research data.
- Resolved 5–7 technical issues monthly to ensure platform reliability and uptime.
- Supported data organisation and platform optimisation to enhance digital knowledge sharing and information accessibility.
- Built and configured ArcGIS Online solutions to manage, visualise, and share spatial data across 5,000 km² of conservation landscapes, supporting wildlife corridor identification and tourism planning.
- Automated spatial analysis workflows using Python (ArcPy), reducing manual analysis time by 40% and enabling faster data-driven decision making in conservation planning.
- Built and deployed interactive real-time data collection and monitoring tools using ArcGIS Survey123 & Dashboards, integrating spatial and non-spatial inputs for timely reporting.
- Created interactive StoryMaps and a tourist site locator app, increasing accessibility to ecotourism data and engaging 5+ conservation and tourism stakeholders.
- Built geospatial applications using ArcGIS Experience Builder, integrating StoryMaps, Dashboards, and Survey123;securing TTWCA as a client and delivering a prototype-to-commercial product transformation.
MSc Research
Current academic work – University of Pretoria
Urban Walkability & Green Space & Community amenities Accessibility in the City of Tshwane
My MSc thesis acesses geospatial accessibility of green spaces and community amenities. It also applies deep learning and computer vision to analyse pedestrian environments to determine accessibility across the City of Tshwane.
Using Google Street View imagery, I am training scene classification models to score walkability attributes at street level to identify pavement quality, shade, enclosure, safety perception and correlating these with green space proximity and demographic data.
The research sits at the intersection of urban planning, computer vision, and spatial equity.
Core Skills
Proficiency levels across key domains