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Thomas-George-T/README.md

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Hi there 👋 I'm Thomas George Thomas,

A Data engineer passionate about Data Science 📊. I like automating, building scalable pipelines, improving and optimizing systems. I am a Strong Advocate for 📜 open source, ☁️ Cloud computing, 🚀 DevOps, 🆕 Innovation and Automation 🤖

  • 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.
  • 💡 I'm interested in all things data: Big Data, Cloud, Machine Learning and Data Science
  • 💬 Talk to me about Formula 1 🏎️, Memes, Anime, Movies 🎥, Genshin Impact 🎮, Amateur Photography 📸

My skills include

Hadoop Spark AWS Scala Python 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 Public

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

    Python 15 8

  2. Streamlit-YouTube-Dashboard Public

    Generating an analytics dashboard based on YouTube videos

    Jupyter Notebook 9 8

  3. 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 Public

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

    Scala 94 53

  5. HackerRank-SQL-Challenges-Solutions Public

    The solutions of all SQL hackerrank challenges using MySQL environment

    SQL 749 217

  6. Prediciting-Hits-on-Spotify Public

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

    Jupyter Notebook 9

1,413 contributions in the last year

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Loading A graph representing Thomas-George-T's contributions from March 24, 2024 to March 29, 2025. The contributions are 80% commits, 16% pull requests, 4% code review, 0% issues. 4% Code review   Issues 16% Pull requests 80% Commits

Contribution activity

March 2025

156 contributions in private repositories Mar 3 – Mar 26
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