Analytics Data Engineer · Author
Analytics Data Engineer and Data Product Leader with 15+ years building platforms that connect raw data to business decisions — at AWS, Google and a few SaaS startups. She earned her degrees from NIT Warangal (B.S. Computer Science) and the Indian Institute of Management, Bangalore (MBA).
View Resume →THE BOOK
Observability-Driven Revenue™ Framework
A Product Analytics Framework for Accountable Business Performance — and 16 AI agents designed to automate growth analytics across the full data stack.
Read on Leanpub →Turn a revenue spreadsheet into an explained, ready-to-read report on your own machine. Drop in daily revenue and get governed metrics, charts, and narrative.
Warehouse-first reporting agent that pulls governed data from Databricks, Snowflake, or Redshift into a local reporting layer with conversational BI.
Account enrichment workflow manager for reviewing provider matches, applying suppression, attaching contacts, and preparing trusted audiences.
The finance team's churn number is 4.2%. The product team's churn number is 6.8%. Same company. Same quarter. The disagreement traces back to the foundation.
GTM brought in the account. Product built the features. Engineering kept the platform running. And yet the customer churned. This is a measurement problem.
Revenue is a lagging indicator. By the time it moves, the decision window has already closed. These are the metrics that tell you what is coming first.