Transforming Data into Decisions. Decisions into Results.
I help public institutions and oversight teams build measurable governance: integrity risk signals, evaluation designs, and performance routines that improve accountability and resource allocation.
www.linkedin.com/in/eduardocna
LANGUAGES
Portuguese (native), English (fluent), Italian (fluent), Spanish (intermediate).
CORE METHODS
Latent Class Analysis (procurement risk)
Synthetic Control / causal inference
Structural Equation Modeling
Text-as-data for oversight analytics
I am an economist and public policy researcher with over 20 years of experience in Brazil’s public sector, spanning applied data analysis, strategic management, and integrity-focused governance. My career includes roles at Anatel, the Presidency of the Republic, the Office of the Comptroller General (CGU), Inep, and the Ministry of Infrastructure.
My research focuses on how to make integrity and performance measurable: detecting procurement fraud risk patterns, evaluating governance reforms with causal inference, and using text-as-data to study oversight and institutional responsiveness.
What I do
Integrity & procurement analytics: risk indicators and triage for audits and oversight.
Impact evaluation: counterfactual designs for reforms and programs (including Synthetic Control applications).
Governance systems: strategic objectives → indicators → routines (monitoring cadence and accountability).
Selected current/previous roles
Advisor, Chamber of Deputies (Brazil), 12/2024–present.
Head of Technical Advisory, Anatel, 01/2024–10/2024.
Chief of Strategic Management, Ministry of Infrastructure, 09/2022–02/2023.
Chief of Governance, Inep, 07/2021–08/2022.
Advisor, CGU, 01/2015–01/2016.
Featured outputs
PhD dissertation: procurement fraud detection using Latent Class Analysis (UCI, 2021).
Peer-reviewed article: Synthetic Control applied to governance indicators in Brazil (2021).
Anti-Corruption Reforms in Brazil, Kenya, and Rwanda (2025).