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Economist consultant at the IDB, focusing on public policy tools for Latin America. Regional Development,NPL, machine learning, and econometrics.
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Universidad de los Andes
Data Analyst
June 28, 2026 – Present
Elecciones-y-twitter
August 22, 2024 – November 10, 2024
Elecciones-y-twitter — GitHub repository
View ProjectLatinMacroWatch_Analysis
June 17, 2024 – June 17, 2024
LatinMacroWatch_Analysis — GitHub repository
View ProjectDynamicLocationSimulations
May 13, 2024 – May 13, 2024
This repository analyzes agglomeration patterns in the early auto industry using a dynamic location quotient (DLQ). Unlike traditional location quotients (LQ) that use a static benchmark, the DLQ accounts for random firm entry and industry growth, providing a more accurate measure of agglomeration in evolving industries.
View ProjectNPL-LDA-HumboldtTrends
April 10, 2024 – April 10, 2024
Este script examina las tendencias tematicas de las investigaciones del Instituo Humboldt a través de Procesamiento de Lenguaje Natural y Clustering sobre abstracts de las investigaciones.
View ProjectEscape-Clauses_SynthControl
April 10, 2024 – October 15, 2024
This repository implements synthetic control methodology to estime the effect of active escape clauses on debt.
View ProjectNaturalDisasters-FiscalSustainability
April 10, 2024 – May 24, 2024
NaturalDisasters-FiscalSustainability — GitHub repository
View ProjectEfficiencyLAC_DEA-ML
April 10, 2024 – April 10, 2024
Este repositorio contiene un análisis exhaustivo de la eficiencia del sector público utilizando el Análisis Envolvente de Datos (DEA) y técnicas de aprendizaje automático para evaluar la eficiencia de las inversiones del sector público en varios países de América Latina y el Caribe
View ProjectQuantilReg_InflationDebt
April 9, 2024 – September 22, 2024
This repository contains the quantitative analysis based on quantile regression models that examine the interaction between inflation and public debt
View ProjectKaminiskyModel
April 9, 2024 – April 9, 2024
This repository implements the Kaminsky model to predict financial crises by monitoring various economic indicators against specified thresholds. It employs machine learning techniques and statistical analysis to evaluate the predictive power of each indicator, aiming to identify early warnings of potentia.
View ProjectSeries-de-tiempo-Uniandes
January 7, 2022 – March 23, 2022
Este repositorio contiene los códigos en Python de los distintos modelos y metodologías impartidas en el curso Series de Tiempo, ofrecido en la Maestría de Economía (PEG) en la Universidad de los Andes.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic and research-oriented economic analysis. While this demonstrates strong analytical capabilities, the diversity of project types and technologies outside of Jupyter Notebook and Python is limited. The single listed professional experience as a 'Data Analyst' is current but lacks details, making it difficult to fully assess alignment with typical corporate data analyst roles that often require broader toolsets and business context. The candidate's experience level is listed as 0, which contradicts the current role, suggesting a potential mismatch in self-assessment or data entry. This could indicate a need for adaptation to a more diverse and fast-paced commercial environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate a strong analytical and research-oriented approach, which could translate to good problem-solving and independent work skills. However, there is no information on collaboration, communication, or adaptability in a team setting.