Civic Deployments
Applied Data Scientist & Economist building civic intelligence infrastructures — systems that turn raw data, norms, and signals into decision-ready evidence for researchers, governments, and policy teams.
📊 Socioeconomic Measurement & Research Infrastructure
- Developed EPH–Census Harmonization Engine – integrates national microdata (EPH, Censo 2022, Redatam) to produce consistent poverty and income indicators with transparent reproducibility.
- Built the Poverty Atlas – a live geospatial platform translating survey and census data into public poverty maps used for social policy analysis.
- Led Cross-Country Harmonization Pipelines – aligned DHS and Afrobarometer datasets for development-economics projects (Eric Mvukiyehe PI).
- Advanced Volatility & Network Models – extended PhD research into how micro shocks aggregate to macro volatility using computational and nonlinear-systems methods.
Deployment: PhD Thesis Online
Docusaurus site with chapter structure, and quick navigation.
🌐 Public-Data Products for Collective Intelligence
- Designed Geo-Tools & Indicators Hub – consolidated electoral, price, and demographic datasets into reproducible data feeds for journalists and civic analysts.
- Implemented Election & Market Intelligence Stack – automated scraping and visualization of electoral and economic data to monitor sentiment and inflation in real time.
- Created Norm & Parliamentary Monitor – daily crawler classifying provincial and national resolutions; supports early-warning and legal-impact assessment.
🏛️ Institutional & Governance Systems
- Built Policy CRM & Network Graph – models alliances, stakeholders, and institutional actors to support coordinated outreach and campaign planning.
- Developed Governance Tracker – digitizes decision logs and institutional memory for academic and governmental boards.
- Deployed Strategic-Planning Engine – transforms complex policy portfolios into monitorable plans with periodic feedback loops and accountability metrics.
🧠 Knowledge & Research Intelligence Frameworks
- Converted Research to Web Portals – built AI-assisted paper chunkers and semantic indexes (OpenAlex, embeddings) turning academic material into searchable web knowledge bases.
- Constructed Research Knowledge Graph – semantic mapping of economics and social-science literature for fast contextualization of new projects.
- Maintains Knowledge Atlas & Summarization Stack – stores, recalls, and synthesizes thousands of documents, memos, and policy papers; transforms tacit knowledge into institutional memory.
🗞️ Communication, Narrative & Decision Support
- Built Economic & Political Narrative Layer – converts analytical results into visual briefs bridging researchers and decision-makers.
- Automated News-to-Knowledge Pipeline – transforms daily news streams into structured policy briefings and thematic digests.
- Integrated Economic Atlas Communication Stack – merges dashboards, text generation, and publication automation for evidence-based storytelling.
Deployment: Argentina’s Poverty Atlas
Interactive map with high-resolution indicators and a reproducible pipeline.
⚖️ Cross-Disciplinary Capability
Matías operates at the intersection of data engineering, economic research, and policy design.
He builds infrastructures that economists analyze, governments rely on, and research teams use to remember what they know.
Expertise Highlights
- Data Engineering & Systems Design: ETL pipelines, geospatial analysis, and cloud deployment.
- Economic Research & Quantitative Methods: survey harmonization, poverty measurement, volatility modeling.
- Policy Analysis & Governance Frameworks: institutional tracking, stakeholder mapping, strategic planning.
- Communication & Knowledge Management: narrative generation, research graphs, summarization workflows.
- AI & Automation: LLMs, vector databases, AI agents, RAG architectures.
Core focus: bridging data infrastructure and public reasoning — enabling institutions to observe themselves through evidence.