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Thomas-George-T/README.md

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Hi there ๐Ÿ‘‹ I'm Thomas George Thomas,

A Data engineer passionate about Data Science ๐Ÿ“Š. I like automating, building scalable pipelines, improving and optimizing systems. I am a Strong Advocate for ๐Ÿ“œ open source, โ˜๏ธ Cloud computing, ๐Ÿš€ DevOps, ๐Ÿ†• Innovation and Automation ๐Ÿค–

  • โšก Fun fact: I strongly believe in the Chaos theory: Even in unpredictable environments with seemingly random oddities and irregularities lies a predictable & sensible pattern not seen initially.
  • ๐Ÿ’ก I'm interested in all things data: Big Data, Cloud, Machine Learning and Data Science
  • ๐Ÿ’ฌ Talk to me about Formula 1 ๐ŸŽ๏ธ, Memes, Anime, Movies ๐ŸŽฅ, Genshin Impact ๐ŸŽฎ, Amateur Photography ๐Ÿ“ธ

My skills include

Hadoop Spark AWS Scala Python linux MySQL Bitbucket Git Bamboo linux Kafka linux Tableau


A problem can be solved in a 100 different ways and There's always an easier way to solve a problem.
You miss 100% of the shots you don't take.


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  1. Ecommerce-Data-MLOps Ecommerce-Data-MLOps Public

    End-to-End deployment of E-commerce customers segmentation using Clustering Machine learning algorithms in Google Cloud Platform and MLOps Tools

    Python 12 7

  2. Streamlit-YouTube-Dashboard Streamlit-YouTube-Dashboard Public

    Generating an analytics dashboard based on YouTube videos

    Jupyter Notebook 5 7

  3. A-Tale-of-Two-Cities A-Tale-of-Two-Cities Public

    Clustering Neighborhoods of Paris and London using Machine learning. IBM Data Science Capstone

    Jupyter Notebook 7 13

  4. Movies-Analytics-in-Spark-and-Scala Movies-Analytics-in-Spark-and-Scala Public

    Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.

    Scala 96 53

  5. HackerRank-SQL-Challenges-Solutions HackerRank-SQL-Challenges-Solutions Public

    The solutions of all SQL hackerrank challenges using MySQL environment

    SQL 708 215

  6. Prediciting-Hits-on-Spotify Prediciting-Hits-on-Spotify Public

    Predicting hit songs on Spotify by classifying 40,000 songs using Machine Learning

    Jupyter Notebook 8