The firm

Founder-led. Remote-first. Anti-hype.

Shah Data Labs is a data consulting and contracting firm run by Pranav Shah. We do the unglamorous, high-stakes work underneath AI: governing data, migrating it without breaking reporting, automating what's manual, and re-engineering the content an AI agent retrieves from.

We work both ends of the market — large enterprise engagements and small outsourced projects — remotely, for clients anywhere. And when a piece of our work stops needing a human, we standardize it into a product. ContextScore is the first.

The stance is deliberately quiet: while the field shouts ungrounded AI promises, we sell structural integrity, governance, and auditable, human-in-the-loop work. Every judgment cites its evidence; uncertain ones are flagged, not asserted.

Capital One (US & UK)

Principal-level data work, 6 years — data-center exits, cloud migrations, on-prem modernization across US & UK financial infrastructure.

Rio Tinto

Custom ML for time-series sensor analysis that beat the vendor model by 30%; replaced manual planning with Power BI + SQL Server.

University of Utah

MS Computer Science. Academic grounding in coreference resolution and semantic-similarity methods.