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21 followers · 4 following
  • Recife, PE - Brazil
  • LinkedIn in/elm2

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

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Enriqson/README.md

Hi there! I'm Enrique, welcome to my GitHub. 🌱


About Me 🚀

💻 I’m a Data Engineer with a bachelor's degree in computer engineering.

💬 Feel more than welcome to contact me if you need any help or want to discuss any software development topic!

Passionate about making things quicker, smoother and tidier.
I'm also an avid Jupyter and Duckdb user.


⚡ Technologies I love and use


js react tailwindcss py selenium django flask swagger airflow aws docker pgsql postman

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  1. ess-delivery-app ess-delivery-app Public

    Forked from if682/ess-delivery-app

    Web Application that reproduces the ordering and delivery functionalities of a food delivery app. Built using Reactjs and Nodejs for IF682 (Software and Sytem Engineering).

    JavaScript 1 6

  2. tcc tcc Public

    Repository with source code for my Computer Engineering Graduate Thesis at CIn-Ufpe: Evaluating the performance between Apache Iceberg and Apache Hive utilizing star schema

    Jupyter Notebook

  3. projetao projetao Public

    Mobile App built using React Native and Expo to incentivize and gamify sports and physical activities for children. Uses Supabase as Auth and DB provider.

    JavaScript 4

  4. spotify_barchart_race spotify_barchart_race Public

    This repo produces an animated video tracing the evolution of a given Spotify Playlist by plotting the most relevant artists in a barchat race format.

    Jupyter Notebook

  5. TalebBands TalebBands Public

    Implements an idea proposed by Nassim Taleb on the Statistical Consequences of Fat Tails: "the fatter the tails, the more markets spend time between µ −√(1/2(5 −√17))σ and µ +√(1/2(5 −√17))σ where …

    Jupyter Notebook 1

  6. Covid_SIR_Model Covid_SIR_Model Public

    Implements an SIAS model to evaluate the evolution of the covid-19 virus in Pernambuco. Developed for IF816 (Numerical Methods).

    Jupyter Notebook