Some facts about myself:

me <- list(  name = "Almuiña",  first_name = "Alberto",  occupation = "Data Scientist",  employer = "ABANCA",  favorite_programming_language = "R",  my_r_packages = c("boostime", "bayesmodels", "garchmodels", "neuralprophet",                     "DSpoty", "shinyrecipes", "ROMDB", "rgenius"))

📌 You can check myBlog where I talk about my experiences and the packages I develop 📖

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1. bayesmodelsbayesmodelsPublic

   The Tidymodels Extension for Bayesian Models

   R 55 9

2. boostimeboostimePublic

   The Tidymodels Extension for Time Series Boosting Models

   R 57 6

3. neuralprophetneuralprophetPublic

   NeuralProphet Algorithm in R for Tidymodels

   R 24 4

4. garchmodelsgarchmodelsPublic

   The Tidymodels Extension for GARCH models

   R 34 10

5. DSpotyDSpotyPublic

   R Package to Get Multiple Information from Spotify API.

   R 4 1

6. shinyrecipesshinyrecipesPublic

   Shiny Gadget to Use the Data Preprocessing 'recipes' Package Interactively

   R 19