
Nimbus Forecast: From Manual yr.no Lookups to a Deployed Platform at DCCMS
From a manual yr.no lookup across 99 stations to a multi-model rainfall forecast platform in operational use at DCCMS. The story of Nimbus Forecast.
Exploring the intersection of climate science, data analytics, and geospatial technology to provide research findings and data-driven insights.

From a manual yr.no lookup across 99 stations to a multi-model rainfall forecast platform in operational use at DCCMS. The story of Nimbus Forecast.

The first version worked on my machine and not much else. Here's what broke it and what the rebuild actually changed.

I walked across my graduation stage and felt nothing. Not relief, not pride — just "what next." That feeling hasn't left since.

My experience as a student intern at Malawi's Department of Climate Change & Meteorological Services, working in climate data analytics — What returning feels like.

Building a full-stack waste intelligence platform using academic research, DBSCAN clustering, a custom risk scoring engine, and a Next.js + FastAPI architecture.

How I architected a full-stack geospatial intelligence platform for a youth-led startup delivering LiDAR mapping, flood risk assessment, and carbon verification across the SADC region.

Applying the IPCC AR5 risk framework to 50,000+ daily meteorological records to map drought and rainfall vulnerability across every district in Malawi.