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igorbenav/README.md

Hi there, I'm Igor ๐Ÿ‘‹


๐ŸŒŸ About Me

I like building things and exploring different kinds of stuff, but mostly I've been working with data for the past years - Engineering, Analytics and deploying data solutions. I also like studying music, languages and religion in my spare time.

  • ๐ŸŒŠ Iโ€™m from Rio de Janeiro
  • ๐Ÿ“š Iโ€™m currently learning more about Backend and Machine Learning Engineering
  • ๐Ÿงฎ I studied Applied Mathematics at the Federal University of Rio de Janeiro
  • ๐ŸŽต I play classical guitar
  • ๐Ÿถ I love dogs

๐Ÿ“ˆ My GitHub Stats

Igor's GitHub Stats


๐Ÿฅ‹ Projects In Progress


๐Ÿ› ๏ธ Technologies & Tools

๐Ÿ’พ Data

Python Pandas DBT Snowflake SQL PowerBI Metabase Fivetran AWS Airflow

๐Ÿ•ธ๏ธ Web

FastAPI HTML JavaScript Heroku

Other

Linux Docker PostgreSQL Pydantic SQLAlchemy Poetry Pytest BeautifulSoup Selenium Retool Stripe


๐Ÿšง Currently Working With

Data infrastructure and solutions at Cidadania4u as a Data Tech Lead


๐Ÿ”ญ A Few of my Past Projects

  • @stripemetrics: Computing stripe metrics just like the dashboard with python.
  • @dexter: Data Exploration Terser - dealing with multiple pandas dataframes.
  • @nn-from-scratch: Teaching Neural Networks from Scratch with Numpy.
  • @python-intro: Python Intro - Teaching python for newbies (Portuguese).
  • @campusmobilebooks: Campus Mobile Ebooks - Ebooks on entrepreneurship, MVP and experimentation written for Campus Mobile (Portuguese).

๐Ÿ“ซ How to reach me

You can message me on LinkedIn or just email me at igor.magalhaes.r@gmail.com.

Pinned Loading

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    FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities.

    Python 566 32

  2. FastAPI-boilerplate FastAPI-boilerplate Public template

    An extendable async API using FastAPI, Pydantic V2, SQLAlchemy 2.0, PostgreSQL and Redis.

    Python 469 55

  3. SQLModel-boilerplate SQLModel-boilerplate Public template

    An extendable async API using FastAPI, SQLModel, PostgreSQL and Redis.

    Python 97 6