Jack Gang is a seasoned data scientist with extensive experience in quantitative research and algorithmic trading. Currently serving as Principal Data Scientist at Atlassian, Jack focuses on Trello and Jira Work Management, having previously held a Senior Data Scientist position for Trello. Prior experience includes leading quantitative research at Vector Trading, LLC and managing trading technology at XR Trading. Jack has a strong background in algorithm development, data visualization, and performance analysis, with proficiency in Python, R, and Excel. Educational qualifications include an MBA from The University of Chicago Booth School of Business and a Master's in Computer Science from the University of Chicago, along with a Bachelor's degree in Operations Research and Financial Engineering from Princeton University.
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