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AngelFelizR/README.md

Contact

Bio

Senior Reporting Analyst with 2 years’ experience using R to process and create business reports in formats as Excel, Word, Power Point, and html.

Proven experience integrating ad hoc regular expressions to transform, extract and validate text data in data pipelines to find abnormalities and automate repetitive tasks; improving reporting accuracy, reducing waiting times and opening new possibilities to empower decision makers.

Autodidactic, self-motivated, inquisitive, and eager to apply data science techniques to create business value and increase ROI for your company.

Open source contributions

  • tidyvalidate: simplifies the workflow of the validate package to work with data.frames by providing tools to manage the usage of ‘confront’, ‘validator’, ‘violating’, and ‘summary’ functions.

  • Joins in data.table Vignette

Writing

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  1. ML-Summary-Notes ML-Summary-Notes Public

    The purpose of creating this book is share the lessons learnt by reading and completing the exercises in the book. It also could work as summary of the main point of the book.

    R 4 1

  2. NycTaxi NycTaxi Public

    R

  3. project.nyc.taxi project.nyc.taxi Public

    In this package, you will find the tools needed to reproduce the analysis done in the project to help taxi drivers in NYC implement strategies that can help them increase their earnings.

    R

  4. tidyvalidate tidyvalidate Public

    This package simplifies the workflow of the 'validate' package by providing tools to manage the usage of 'confront', 'validator', 'violating', and 'summary' functions. It also streamlines the integ…

    R