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João Paulo Pereira Leonardo

Data Science, Territory & Public Policy

I transform social and spatial data into actionable intelligence for planning, innovation, and the reduction of inequalities — connecting science, territory, and real-world impact.

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About me

I am a PhD candidate in Population, Territory, and Public Statistics at the National School of Statistical Sciences (ENCE/IBGE, Brazil), with a career focused on integrating data science, spatial statistics, and public policy.

I develop solutions that combine statistical modeling, programming, and territorial analysis to understand urban phenomena and guide evidence-based decisions. My research covers armed violence, social inequality, urban planning, and public innovation.

I am the creator of SIG-Seg — a geospatial intelligence platform recognized by the Brazilian Ministry of Justice — and author of the LOGOS Project, an initiative dedicated to translating data into knowledge and territorial intelligence.

Projects & Research

🗺️ SIG-Seg

Geospatial Intelligence Platform for monitoring stolen objects and analyzing patterns of territorial violence. Recognized by the Brazilian Ministry of Justice in the “Disruptive Technologies for Public Safety” challenge. Integrates interactive maps, databases, and real-time statistics.

📊 Doctoral Research — Armed Violence & Sociodemographic Structure

Ongoing research at ENCE/IBGE analyzing the relationship between social inequalities, urban structure, and armed violence in Rio de Janeiro (2016–2025). Combines Fogo Cruzado and 2022 Census data in statistical-spatial models.

🌍 LOGOS Project

An authorial initiative combining data science, design, and social impact. The LOGOS Project serves as both an identity and a creative lab for developing methodologies, visualizations, and territorial intelligence tools.

Visual Portfolio

Selected examples of maps, models, and dashboards developed in R, Python, and HTML.

Map 1
Spatial clusters — Rio de Janeiro
Map 2
Socio-demographic patterns and territorial risk
Map 3
Predicted rates — GLMM models 2016–2025

📖 Report — Female-Headed Households (2010)

Territorial analysis of the proportion of female-headed households in Brazil, using 2010 Census data and spatial indicators.

🔍 View Report

Contact

Interested in collaboration, research, or data projects? Let's connect.

📄 Download CV