Sigma provides interactive analytics directly on data held in a cloud data platform. Its workbook approach supports both high-level reporting and detailed exploration, helping business and technical users work from shared models without moving calculations into isolated spreadsheets.
Data orchestration and transformation pipelines to deliver high-quality, actionable data
Creating visual representations of data to communicate insights, patterns, and trends effectively
I led the redesign and migration of a reporting environment supporting a broad range of business, operational, engineering, and selected customer-facing analytics.
The work included dashboard migration, reporting standards, reusable templates, stakeholder requirements, and coordination across technical and business users.
Reporting was organized so that users could move from high-level views to progressively more detailed operational and engineering analysis without duplicating the same underlying metrics across separate dashboards.
Shared data models and reporting conventions made it easier for teams to explore data consistently while reducing duplicated dashboards and isolated calculation logic.
The reporting layer covered use cases across renewable-energy assets, EV charging, project execution, finance, operations, forecasting, and reliability.
Developed reporting that allows reliability to be analyzed from portfolio-level summaries down to individual sites and charging ports.
This makes it possible to move from a high-level uptime indicator to the equipment and time periods responsible for changes in the metric.
Reliability metrics were also integrated into customer-facing reporting, providing visibility into charger uptime alongside other EV charging performance information.
The same underlying data model supports operational analysis, internal reporting and customer-facing views, providing a consistent reliability definition across different levels of the organization.
Integrated the uptime framework into recurring operational and customer-facing reporting.
Reporting views supported comparison across the charging portfolio, sites and individual ports.
The same reliability definition was used across these views, keeping interpretations consistent.
End-to-end development and modernization of a data platform spanning production ingestion, analytics engineering, quality controls, and reporting for operational, business, and customer-facing use cases.
Reliability analytics for 70,000+ managed EV chargers, reconstructing consistent per-port uptime from operational state, connectivity, asset history, and downtime exclusions for operational and customer-facing reporting.
