About
HeadersIQ is a research effort led by Marcelo Valentim Silva at Curtin University. It focuses on header-centric semantic type detection and data quality assessment using an explainable pipeline and the HeadersIQ metric.
In one line: small, auditable rules; big, practical wins.
Why this matters
- Early feedback: catch bad data before modeling or dashboards.
- Explainable by design: rules tied to clear semantic types.
- Portable: works across domains and datasets with minimal tuning.
Short Bio
Marcelo is a PhD candidate at Curtin University working on semantic type detection and data quality. He has a Master's Degree in Information Quality from the University of Arkansas in Little Rock (UALR) in the United States. Before beginning his PhD, he worked for 20 years at Banco Central do Brasil, the equivalent in Brazil to the Reserve Bank of Australia (RBA) and the Federal Reserve in the USA. His professional trajectory progressively evolved from data administration into data warehousing, data governance, and data quality management.
Contact
- Email: headersiq@gmail.com • marcelovalentimsilva@gmail.com
- LinkedIn: Profile