Capital One has long been recognized as a leader in the analytics space, leveraging an information-based strategy to drive marketing decisions and many other aspects of how products are delivered to customers. The company is always looking for opportunities to provide new ways for its analysts to interact with data to deliver new insights.
In a recent exploration of “notebook” offerings, JupyterHub emerged as a top contender that could serve as a potential platform for analytics even in highly regulated industries like financial services. David Schaaf and Shivraj Ramanan discuss Capital One’s journey and explain how Jupyter has become a part of the company’s ever-growing analytics toolkit.
David Schaaf is a director of data engineering at Capital One, where he leads data product development within the Financial Services Division. As part of his role, he guides agile teams to build data products for analyst and data communities with a primary focus on enabling self-service analytics, exploration, and insight discovery. David’s teams typically design data products using microservices, Angular, and Python and leverage core CI/CD practices for continuous delivery. David has more than 15 years of experience in software engineering and data analytics. He also has a wide breadth of knowledge across the financial services domain and in the retail industry. As a developer and analyst, David’s greatest interest is solving unique, complex problems and developing others as software and data engineers.
Shivraj Ramanan is director of product management at Capital One. Shivraj combines a strong background in business strategy with technical depth to drive successful outcomes for product teams. Previously, he worked in product strategy in a Fortune 500 company, where he analyzed emerging markets and investigated strategic investments, and in strategy consulting, where he advised on a wide variety of complex topics. Shivraj started his career as a software engineer developing enterprise backup software.
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