Economist with experience in research and applied economics across topics such as inflation, expectations, climate change, and agriculture. Passionate about using data science and statistical programming to generate insights. Continuously working to refine and expand my skills.
Sept 2022 - Present
Oct 2021 - Aug 2022
Mexico City
SAT is the federal organization that is the resposible to apply the fiscal regulation in Mexico.
Oct 2021 - Aug 2022
 2019-2021 Master in EconomicsPublications:
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 2013-2018 Bachelor in International TradePublications:
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This project presents the coding problems and my solutions that are part of LeetCode 75 study plan. I developed a github page to present the project.
This data project presents the relevant information for the principal population variables (fertility and fecundity, mortality and nuptiality) for Mexico and their relationship with the economic cycle. The project is presented as an interactive and friendly visualitation tool.
With Diego Lopez and Williams Gomez.
In this thesis, I analize the effect of NATFTA on the agricultural sector of Mexico. In specific, I focus in the affect on foreig trade (exports and inports) and productivitie for the sector in general and for some specifict products. To estimate the effect, I apply the Synthetic Control Method (Abadie, 2003).
Experienced in R for statistical analysis, data visualization, and data manipulation. Skilled in using R packages like dplyr, ggplot2, and tidyr for data manipulation and creating graphics.
Proficient in Stata, with experience in managing large datasets, performing statistical analyses (including regression, time-series, and panel data), and creating customized visualizations.
Experienced in deploying static websites and project portfolios using GitHub Pages. Proficient in version control, repository management, and team collaboration.
Proficient in LaTeX for creating professionally formatted documents, including academic papers, reports, and presentations.
Proficient in Microsoft Office, with advanced skills in Excel for data analysis, modeling, and automation using functions.
Skilled in applied economics, with a strong background in using economic theories and quantitative methods to analyze real-world issues. Proficient in using statistical methods and tools to extract meaningful insights.
Experienced in data analysis, with strong skills in cleaning, transforming, and managing complex datasets. Capable of visualizing data effectively to communicate findings clearly.
