GIS Analyst | Geospatial Engineer | Climate & Risk Intelligence
Simon Mutunga
Mavindu
Building practical spatial data systems, climate risk models, and geospatial platforms — from geodatabase QA at national infrastructure scale to parametric insurance triggers and API-first agricultural intelligence.
3+ years in GIS, spatial data analysis, climate risk modelling, and remote sensing
100,000+ spatial records reviewed and validated in ArcGIS Pro geodatabases
Built risk intelligence systems covering deterministic logic, probabilistic logic, NLP, and geocoding
Experience across ArcGIS Pro, QGIS, Python, SQL, FastAPI, GeoPandas, H3, and remote sensing workflows
Selected work
Projects
Python, FastAPI, React, Vercel, Render, Open Data
Sarateal — Agricultural Market Intelligence Platform
An open-source, API-first agricultural market intelligence system connecting farmer supply, buyer demand, WFP Kenya food prices, tenders, weather-risk signals, and geocoded market workflows across Kenyan counties.
View project →QGIS, Weighted Overlay, GIS Workflow Documentation
Flood Susceptibility Mapping — Kenya
A flood susceptibility mapping workflow covering data preparation, spatial modelling, weighted overlay analysis, map design, and full technical documentation from raw GIS inputs to final flood map outputs.
View project →H3, Spatial Indexing, Risk Scoring, Knowledge Graph Concepts
Flood Susceptibility Mapping Using H3 Spatial Index — Nairobi
Applied H3 Resolution 12 spatial indexing to aggregate terrain, drainage, and environmental risk factors into near-building-level hexagonal units for granular flood susceptibility scoring.
View project →ArcGIS Desktop, AHP, MCDM, Weighted Overlay
Crop Suitability Analysis for Duma Wheat — Makueni County
Conducted crop suitability analysis using soil, rainfall, temperature, elevation, and land-use datasets. Produced 7 thematic maps and validated AHP weights using pairwise comparison and consistency checks.
View project →Python, Climate Models, H3, Remote Sensing, Risk Logic
Climate Risk Modelling & Risk Intelligence
Built hazard-aware workflows for drought, flood, heat, rainfall, cyclone, and water-security risk using open datasets, spatial indexing, probabilistic logic, and Python-based processing.
View project →Professional background
Experience
Geospatial Analyst
Rozvi Group
- Lead spatial data and risk intelligence workstreams supporting climate risk assessment, parametric insurance, and geospatial platform engineering.
- Designed and built 3 production systems: climate risk logic engine, NLP recommendation module, and geocoding/location resolution system.
- Developed spatial data pipelines processing outputs from 7 climate models into consistent analysis-ready formats.
- Led methodology development for 2 parametric insurance products, including trigger logic, spatial thresholds, and index design.
- Prepared spatial datasets across 8 environmental and risk mapping workstreams.
GIS Analyst — Quality Assurance
Kenya Power and Lighting Company
- Reviewed and validated over 100,000 spatial records in ArcGIS Pro geodatabases.
- Corrected topology errors, misaligned geometries, and attribute inconsistencies across national infrastructure layers.
- Coordinated with field teams to reconcile geodatabase records with real-world observations.
- Maintained structured GIS geodatabases used by 4 operational teams.
- Produced maps and spatial outputs for infrastructure planning and compliance reporting.
Survey / GIS Attaché
Nairobi City Water and Sewerage Company
- Supported sewer pipeline leveling, manhole layout surveys, and wastewater infrastructure mapping.
- Contributed spatial data for approximately 5 km of wastewater infrastructure across 3 project zones.
- Conducted topographic surveys using total station equipment.
- Maintained ArcGIS Desktop records for over 150 infrastructure assets.
- Produced 6 maps and spatial deliverables for engineering and maintenance planning.
Technical toolkit
Skills
GIS Software
Programming & Data
Spatial Analysis
Climate & Risk
Data Engineering
Cartography & Reporting
Credentials
Certifications
Education
Academic background
Contact
Let's build useful spatial systems.
"Available for GIS, climate risk, spatial data engineering, remote sensing, and Python automation work."