>Lauren Chaplinski
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Federal Analytics Product in Palantir Foundry

2022–2023

Technical lead delivering demographic and geographic analysis of social drivers of health for a US federal agency, built inside the agency's own Palantir Foundry environment so it shipped as a living product, not a one-off deliverable.

PythonRPower BIPalantir Foundryclient work: described in general, non-identifying terms

Problem

A large US federal agency needed demographic and geographic analysis of social drivers of health, combining public datasets with the agency’s own data. A one-off deliverable (a slide deck, a static report) wouldn’t hold up as the underlying data changed. The agency needed something that lived inside its own systems and could be maintained after the engagement ended, not a snapshot handed off and left to go stale.

Approach

Led a technical team building the full pipeline, analyses, and visualizations directly inside Palantir Foundry, the platform the agency already ran its own data ecosystem on. That meant designing for someone else’s infrastructure and constraints from the start, not adapting a personal toolkit and hoping it transferred.

Outcome

The product deployed directly into the agency’s existing data ecosystem rather than existing as a throwaway deliverable: built to be maintained and extended by the agency itself, not just presented once and archived.