Analytics Engineering & Validation

Per-Port Data Model

Designed the analytics model around individual charging ports, with derived reliability intervals that could be aggregated consistently from charger level through site and portfolio reporting.

Input data were normalized onto a consistent time basis before aggregation, simplifying the calculation of time-weighted availability across heterogeneous equipment.

Data Quality

Implemented automated validation around asset coverage, reporting periods, downtime exclusions and metric consistency.

The resulting transformation pipeline provided a reproducible definition of uptime rather than relying on dashboard-level calculations or manually maintained metrics.

Production Analytics

The models were implemented as production analytics workflows and maintained through version-controlled transformations, automated testing and documented metric definitions.