Speaker: Sri Krishnamurthy

Chief Data Scientist and CEO of @QuantUniversity

Sri Krishnamurthy, CFA, is the founder of QuantUniversity, a data and quantitative analysis company, and the creator of the Analytics Certificate program and the Fintech Certificate program. He has more than 15 years of experience in analytics, quantitative analysis, statistical modeling, and designing large-scale applications. Previously, Mr. Krishnamurthy has worked for Citigroup, Endeca, and MathWorks and has consulted with more than 25 customers in the financial services and energy industries. He has trained more than 1,000 students in quantitative methods, analytics, and big data in the industry and at Babson College, Northeastern University, and Hult International Business School, many of whom work in data science roles at financial services firms. Mr. Krishnamurthy earned an MS in computer systems engineering and an MS in computer science from Northeastern University and an MBA with a focus on investments from Babson College.

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2019 Tracks

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.

  • Handling Sequential Data Like an Expert / ML Applied to Operations

    Discussing the complexities of time (half track) and Machine Learning in the data center (half track). Exploring topics from hyper loglog to predictive auto-scaling in each of two half-day tracks.

    Half-day tracks