AI Economic Index

This project implements the end-to-end data pipeline: from raw Anthropic dataset ingestion to warehouse transformation (dbt), analytics outputs, and finally reporting via Evidence and Bruin. The purpose is to deliver insights on AI’s role in today’s economy. In this project, I use Bruin as an AI data analyst. To enable this, I first set up a Bruin pipeline that passes through key intermediate and marts dbt models, such as task-to-SOC mappings, enriched datasets, and reporting tables. Every Bruin asset and its table columns were fully documented so Bruin can more easily parse the data and generate queries. Once the pipeline was in place, I connected Bruin as an app in Discord, so the Bruin dataset could be consumed directly for AI-driven data analysis by users.