ATLAS started as an internal data warehouse for a research team that kept re-deriving the same indicators for every new client. We opened it up because the underlying discipline — one taxonomy, one source of truth — is more useful shared than siloed.
We publish the originating agency and collection method for each indicator — no unlabeled numbers.
Definitions are reconciled to a shared indicator code before anything is published, so cross-country comparisons hold up.
When a source revises a figure, we keep the history — you can see what changed and when.
A structured PostgreSQL database architecture built to index macroeconomic indicators.
Sector codes and indicator codes standardized across Nepal, 7 provinces, and global benchmarks.
Cascading data explorer and side-by-side indicator analysis grid open to researchers.
Applied organizational diagnostic layer deployed for live enterprise intelligence.
Economists, data engineers, analysts, and cartographers.
Leads research strategy, macroeconomic indicator modeling, and methodology standards.
Manages the PostgreSQL ingestion pipelines, statistical validation, and API infrastructure.
Architects organizational diagnostic algorithms and benchmark performance scoring.
Designs cartographic grids, province-level geographic overlays, and visual systems.