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Beyond that, how these theories are applied to the real-world using High-Performance computing, and distributed systems to the Peta-Bytes worth of data that exists on the internet. Yielding the skill-set under my possession, I seek to not only understand theoretical concepts like Machine-Learning, but also implement them practically to enable their use on real-world Big Data. I believe data is central to the utility of any system, with high-performance computing and distributed systems being the tools that enable it to be used practically.\n\n## Professional Creed\nI rigorously pre-process and wrangle with data through techniques like feature engineering to squeeze out every last bit of information it may contain, then I analyze it to uncover its story and the information it is communicating, and finally I use the insights gained to forecast what it may predict. I use high-performance computing to ensure that I am utilizing the full potential of the hardware that is made available to me, and design my infrastructure in a way that can scale to utilize the potential of any future hardware upgrades.\n\nI am collaborative, and welcome any open-source contributions, joint-project ventures or code-review assistance. My contribution to any project can bring the unique perspective of the project as a data systems solution. 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