Geospatial Data Scientist and Full-Stack Geospatial Engineer with over seventeen years of experience designing Earth-observation-driven decision-support systems for environmental and climate risk, complemented by more than two years of full-stack web development experience. Expert in satellite time-series analytics using Google Earth Engine, Python, and R; spatial databases with PostGIS; and web-based geospatial platforms including Django, Flask, REST APIs, Leaflet, and GeoServer. Extensive experience delivering national and regional early-warning systems for governments and international organizations such as the World Bank, UNICEF, UN-WFP, and SADC, translating scientific analysis into operational, policy-relevant data products.

• EO time-series analysis (NDVI, SPI, rainfall, LST)
• Drought, flood, crop & climate risk modeling
• Google Earth Engine (production workflows)
• Python, R (automation, analytics, geoprocessing, ML-assisted classification)

• Proficient in leveraging GIS and Remote Sensing for advanced food security, environmental monitoring and impactful humanitarian initiatives.
• Backend & APIs: Django, Flask, FastAPI, Django REST Framework, Node.js.
• Frontend: React, HTML, CSS, Bootstrap, Leaflet.
• DevOps & Cloud: Git, GitHub, Linux, AWS, Azure, Docker, GeoServer.
• Data Science & ML: Google Earth Engine, Scikit-learn, TensorFlow, Tableau, Shiny
• Spatial Databases: PostgreSQL/PostGIS, MongoDB, MySQL
• Map Services: GeoServer, WMS/WFS, tiled rasters
• Dashboards & Visualization: Leaflet, Power BI, R Shiny
• Geospatial Tools: QGIS, ArcGIS, Google Earth Engine, GeoServer, Leaflet, GDAL, ArcPy.

• Git/GitHub, CI concepts
• Cloud: Azure, AWS (deployment exposure)
• Agile / Scrum (PMI, Azure DevOps)

• UNDRR Global Assessment Report on Disaster Risk Reduction - *Mapping Resilience for the Sustainable Development Goals (2023). Contributing author from UNICEF HQ. DOI linkL

• Marumbwa FM, Cho MA, and Chirwa PW. (2020) An assessment of remote sensing-based drought index over different land cover types in southern Africa, International Journal of Remote Sensing, 41:19, 7368-7382. Available at: DOI link.

• Marumbwa FM, Cho MA, and Chirwa PW. (2020) Geospatial analysis of meteorological drought impact on southern Africa biomes, International Journal of Remote Sensing, Volume 42, 2021 - Issue 6.Available at: DOI link.

• Marumbwa FM, Cho MA, and Chirwa PW. (2019) Analysis of spatio-temporal rainfall trends across southern African biomes between 1981 and 2016, Physics and Chemistry of the Earth, Parts A/B/C.Available at: DOI link.

• Archer, Emma Rosa Mary; Landman, Willem Adolf; Tadross, Mark Alexander; Malherbe, Johan; Weepener, Harold; Maluleke, Phumzile; Marumbwa, Farai Maxwell, 2017 Understanding the evolution of the 2014–2016 summer rainfall seasons in southern Africa: Key lessons, Climate Risk Management, pp.0–6. Available at: DOI link.

• Chess
• Walking