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Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Starstruckx2Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx3

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Starstruckx2Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx3

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@cienciadedatos

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pachadotdev/README.md

About me

I am currently completing a PhD in Economics at the University of Surrey and my ORCID number is 0000-0003-1017-7574. I am really interested in International Trade. My research focuses on the structural gravity model of trade, with special attention to the computational challenged posed by large dimensional fixed effects and Pseudo-Poisson Maximum Likelihood (PPML) estimator from Tenreyro and Santos-Silva (2006) and the gravity equation derived from Eaton and Kortum (2002) and Melitz (2003).

I have a Master of Arts in Political Science from the University of Toronto, a Master of Science in Statistics from the Catholic University of Chile, and an Engineering degree from the University of Chile. I can provide my CV (academic/professional) upon request.

Because of the quantitative nature of my research, I have developed a strong interest in data science and programming. You can check my GitHub profile, where I have organised my open source projects, most of them are related to gravity estimation besides data wrangling with R and data visualisation with Shiny. This interest has included learning C++ and theory of computation at graduate level, translating into a Nerd Score of 97 according to nerdtests.com.

I tend to replicate all the articles and books I read. I usually do not understand everything immediately, and then I redo all the math or recreate plots/tables with R or Python step-by-step. This is more or less an application of the quote by Paul Halmos: “Don't just read it; fight it! Ask your own questions, look for your own examples, discover your own proofs. Is the hypothesis necessary? Is the converse true? What happens in the classical special case? What about the degenerate cases? Where does the proof use the hypothesis?”

R and Shiny training

I offer short courses for groups and individual personalised sessions in my extras. I am certified to teach the Tidyverse and Shiny by RStudio.

Some of my projects

I translated R for Data Science translation into Spanish (see R Para Ciencia de Datos), where I also had to organize the community involved in the translation. I also maintain Open Trade Statistics

Links

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  1. tradestatistics-visualization-with-shiny tradestatistics-visualization-with-shiny Public

    Open Trade Statistics Shiny Dashboard

    R 37 9

  2. gravity gravity Public

    Forked from jpburgard/gravity

    R package that provides estimation methods for Gravity Models

    R 37 14

  3. ropensci/tradestatistics ropensci/tradestatistics Public

    R package to access Open Trade Statistics API

    R 81 15

  4. cienciadedatos/r4ds cienciadedatos/r4ds Public

    Forked from hadley/r4ds

    Traducción del libro "R for Data Science"

    R 62 127

  5. ropensci/censo2017 ropensci/censo2017 Public

    Una Base de Datos de Alto Rendimiento del Censo 2017 de Chile.

    R 28 9

  6. analogsea analogsea Public

    Digital Ocean R client

    R 157 24