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andre-marcos-perez/README.md

André Perez

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Content

Written

  • Article: Machine Learning Models from the Engineering Perspective - Data Team Stone on Medium - 🇧🇷 - March, 2021.
  • Article: About the history of distributed computing and Kubernetes clusters - Data Team Stone on Medium - 🇧🇷 - January, 2021.
  • Article: Getting started with MongoDB, PySpark, and Jupyter Notebook (mention) - MongoDB Tech Blog - 🇬🇧 - October, 2020.
  • Article: Apache Spark Cluster on Docker (ft. a JupyterLab Interface) - Towards Data Science on Mediume - 🇬🇧 - July, 2020;
  • Paper: Risk Management in E-Commerce - A Fraud Study Case Using Acoustic Analysis - MDPI Entropy - 🇬🇧 - November, 2019;

Spoken

  • Podcast: Data, IA and ML in our daily lives - DevPira podcast - 🇧🇷 - May, 2021.
  • Podcast: Data Engineering at Experian - Hipsters.Tech podcast - 🇧🇷 - July, 2020.

Video

  • Talk: Feature Store Cookbook - The Developer's Conference - 🇧🇷 - June, 2021.
  • Talk: The Mindset and Elements of a Machine Learning Platform - The Developer's Conference - 🇧🇷 - March, 2021.
  • Live: Meet Stone's Credit Data Team - EstatiDados YouTube Channel - 🇧🇷 - March, 2021.
  • Live: Building a Data Lakes on AWS - EstatiDados YouTube Channel - 🇧🇷 - December, 2020;

Teaching

  • Course: Data Science - EBAC - 🇧🇷 - April, 2021;
  • Course: Data Analyst - EBAC - 🇧🇷 - April, 2021;
  • Course: SQL for Data Analysis - EBAC - 🇧🇷 - April, 2021;
  • Course: Python for Data Analysis - EBAC - 🇧🇷 - April, 2021.

Pinned

  1. cluster-apps-on-docker/spark-standalone-cluster-on-docker cluster-apps-on-docker/spark-standalone-cluster-on-docker Public

    Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. ⚡

    Jupyter Notebook 418 188

  2. cluster-apps-on-docker/kafka-cluster-on-docker cluster-apps-on-docker/kafka-cluster-on-docker Public

    Learn Apache Kafka by building your own cluster with a JupyterLab interface on Docker. ⚡

    2

  3. ifood-arch-readme ifood-arch-readme Public

    The application is the documentation of my solution for the iFood data architect test.

    1