Marshall Krassenstein
MK

Marshall Krassenstein

Linkedin Profile
Solutions Architect at Databricks | Pittsburgh, Pennsylvania, United States
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About Marshall Krassenstein

  • Marshall Krassenstein is a dynamic Customer Facing Data Scientist at DataRobot, where he leverages his extensive background in analytics to bridge the gap between complex data science concepts and practical business applications. With a Master’s degree in Analytics from the Georgia Institute of Technology, Marshall...
    Marshall Krassenstein is a dynamic Customer Facing Data Scientist at DataRobot, where he leverages his extensive background in analytics to bridge the gap between complex data science concepts and practical business applications. With a Master’s degree in Analytics from the Georgia Institute of Technology, Marshall excels in developing innovative solutions that enhance user interaction with the DataRobot platform. His expertise spans a wide array of skills including machine learning, interactive visualizations, and data pipelines, making him a versatile asset in the data science landscape. In his multifaceted role, Marshall is deeply involved in software development, where he creates packages like `datarobotx` to streamline workflows and improve user experiences. This initiative not only enhances the functionality of DataRobot’s offerings but also empowers users to harness the full potential of the platform. As a Sales Engineer, he plays a crucial role in pre-sales activities, conducting platform demonstrations that showcase DataRobot's capabilities to prospective clients. His ability to lead proof of value engagements allows clients to visualize the transformative impact of AI and machine learning on their operations, ultimately driving informed decision-making. Marshall’s technical fluency in programming languages such as Python, R, and SQL, combined with his proficiency in tools like D3.js and Alteryx, enables him to craft sophisticated data solutions that meet diverse client needs. His passion for data science is matched only by his enthusiasm for creating engaging and informative visualizations that tell compelling stories through data. Outside of work, Marshall enjoys indulging in smoothies, reflecting his commitment to a balanced and healthy lifestyle. With a keen eye for detail and a strong foundation in analytics, Marshall Krassenstein continues to make significant contributions to the field of data science at DataRobot.
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  • Marshall Krassenstein Work

    • Solutions Architect at Databricks in January 2025 to Present
    • Senior Data Science Engineer - Customer Engineering at DataRobot in January 2023 to January 2025
    • Senior Customer Facing Data Scientist at DataRobot in January 2021 to January 2023
  • Marshall Krassenstein Skills

    • Data ScienceBig Data AnalyticsData Engineering
      Sales EngineeringCustomer SupportData AnalysisPythonMachine LearningAnalysisEvent PlanningProject ManagementAgile MethodologiesAnalytical SkillsSQLMicrosoft OfficeTableauRD3.jsCloudera ImpalaDatabasesTeamworkLeadershipCustomer ServiceManagementPublic SpeakingAlteryxVisual AnalyticsRegression AnalysisSophisticated Data Monkey

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  • About Marshall Krassenstein's Current Company

  • Frequently Asked Questions about Marshall Krassenstein

    • What is Marshall Krassenstein email address?
      Email Marshall Krassenstein at m***s@gmail.com and m***n@datarobot.com. This email is the most updated Marshall Krassenstein's email found in 2025.
    • How to contact Marshall Krassenstein?
      To contact Marshall Krassenstein send an email to m***s@gmail.com or m***n@datarobot.com. (updated on January 16, 2024)
    • What company does Marshall Krassenstein work for?
      Marshall Krassenstein works for Databricks
    • What is Marshall Krassenstein's role at Databricks?
      Marshall Krassenstein is Solutions Architect
    • What is Marshall Krassenstein's Phone Number?
      Marshall Krassenstein's phone (215) ***-*530
    • What industry does Marshall Krassenstein work in?
      Marshall Krassenstein works in the Financial Services industry.

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