Carlos Fabian
Fuentes Rivas

Economist | Applied Economics | Public Policy & Data

Transforming complex economic data into actionable insights for public policy. Specialized in statistical modeling, econometrics, and geospatial analysis for decision-making under uncertainty.

Carlos Fabian Fuentes Rivas - Economist & Data Scientist

About Me

I am an economist currently pursuing a Master's in Applied Economics. My work focuses on statistical and econometric modeling, public policy analysis, and geospatial data for decision-making under uncertainty. With extensive experience in poverty measurement and sustainable development indicators, I bridge the gap between complex economic theory and practical policy implementation.

Experience

Senior Research Programmer

Tecnológico de Monterrey • 2024–Present

Leading simulation modeling projects for climate pathways in collaboration with World Bank teams. Developing advanced computational models to assess environmental and economic impacts of climate policies.

Associate Researcher

Tecnológico de Monterrey • 2023–2024

Conducted behavioral research on decision-making tools in uncertain environments. Applied experimental economics methodologies to understand policy effectiveness under uncertainty.

Deputy Director of Poverty Measurement

CONEVAL • 2020–2024

Managed national poverty metrics and SDG indicators using advanced econometric techniques. Led a team responsible for Mexico's official multidimensional poverty measurements and policy recommendations.

Education

Master's in Applied Economics

Tecnológico de Monterrey • 2023–Present

Specializing in econometric modeling, public policy analysis, and quantitative methods for economic research.

Bachelor's in Economics

Universidad Autónoma Metropolitana • 2013–2017

Foundation in economic theory, statistical analysis, and quantitative methods with focus on development economics.

Technical Skills

Programming

R Python SQL Stata

Geospatial Analysis

R Spatial QGIS ArcGIS

Data Visualization

Tableau PowerBI ggplot2

Development Tools

Git Docker AWS

Featured Projects

Geospatial Policy Analysis – El Salvador

Comprehensive mapping and clustering analysis of school infrastructure to support presidential advisors in education policy design. Utilized advanced geospatial techniques to identify optimal locations for educational investments and policy interventions.

Tools: R, QGIS, Spatial Statistics, Clustering Algorithms

Publications

Multidimensional Poverty in Mexico in the Context of the COVID-19 Health Emergency

Dimensions, Oxford Poverty and Human Development Initiative (OPHI) • 2022

Analysis of the impact of COVID-19 on multidimensional poverty indicators in Mexico, examining changes in health, education, and living standards dimensions.

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Let's Connect

Interested in collaborating on economic research, policy analysis, or data science projects? I'm always open to discussing innovative approaches to complex economic challenges.