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Proof capsule

Argentina Poverty Measurement & Atlas

End-to-end data engineering, validation, modeling, and public data product

A versioned survey-to-census data system with semantic alignment, predictive modeling, commissioning, and a public geographic atlas.

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Problem

Survey and census microdata have different coverage and semantics. Publishing geographically detailed estimates requires explicit alignment, model-support checks, reproducible releases, and clear distinctions between observed and predictive results.

What I built

A multi-repository system connecting EPH household surveys, census microdata, semantic alignment, person-level income modeling, commissioning checks, governed releases, and a public atlas with geographic exploration.

What this proves

  • Build governed data pipelines across heterogeneous public datasets.
  • Distinguish observed, fitted and predictive estimates and preserve geographic support boundaries.
  • Ship inspectable analytical releases consumed by a public web application.