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👋 Hi, I’m Mauricio Bautista

  • I´m a data engineer who really love work with data, Im always looking for something to learn and I belive data help us to undesrtand everything
  • Linkedin LinkedIn   Yo can reach me in https://www.linkedin.com/in/mauricio-fbl/
  • 👀 I’m interested in Artifitial Intelligence, Data Engineering and Cloud computing, I love to learn, and I am a believer in lifelong learning.
  • 🌱 I’m currently learning in Platzi and Clouduru about Cloud Computing and Data science and hope soon can apply for the AWS Developer addociate certification
  • 💞️ I’m looking to collaborate on Data science, Data engineering, web scrapping, and analytic projects
  • 📫 How to reach me you can send an inbox to my linkedInLinkedin LinkedIn and I respond as soon as possible
  • Technologies
    • image image R Scala
    • image image Flask image scikit-learn
    • Git GitHub
    • image image MicrosoftSQLServer MySQL
    • image image
    • Windows Ubuntu Cent OS Linux

Mauricio Fernando Bautista Lopez's Projects

apalabrados icon apalabrados

Primer reto tecnico platzi master, Es una aplicacion en Flask que evalua un input

capstone_project icon capstone_project

This a full pipeline develop to made movie analytics with AWS apache airflow and pyspark

data_engeniering_python icon data_engeniering_python

# data_engeniering_python ## Description This is a Data engineering pipeline prototype to extract data from notice sites then, tranform and aggregate different sources and finally load data in a Bd ## Data Sources The project consumes different notices sites at this moment scrape: - https://elpais.com - http://www.eluniversal.com.mx ## Development Parameters needed for configuration are in the file config.yaml this file contains: * **news_sites:** sitename: url: queries: homepage_article_links: article_body: article_title: ### Requirements and Installation directories and file structure: ``` LH4_AMPPS_DASH/ |---extract/ |---common.py |---config.yaml |---main.py |---news_page_objects.py |---transform/ |---main.py |---load/ |---article.py |---base.py |---main.py |---.gitignore |---README.md |---newspaper.db |---pipeline.py ``` It requires Python 3.6 or higher, check your Python version first. The [requirements.txt](requirements.txt) should list and install all the required Python libraries that the pipeline depend on `pip install -r requirements.txt` To start scrapping the sitess, you have to execute [pipeline.py](pipeline.py) file: `python pipeline.py ` This will run the ETL process, and write the output to the specified output location.

dbt-athena icon dbt-athena

The athena adapter plugin for dbt (https://getdbt.com)

ejemplo_git icon ejemplo_git

La idea de este repositorio es entender los fundamentos de git

etl_with_airflow icon etl_with_airflow

Example of how to create an ETL process orchestrated with Apache Airflow

facerecognitiomlp icon facerecognitiomlp

python MLP for face recognition This is a personal project to understan how the multilayer perceptron works aplied in computer vision field

git2019 icon git2019

Curso de Git y Github con Freddy Vega - Platzi - 2019

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