Speaker: Romit Mehta

Product Manager, Data Platforms @PayPal

Romit has over 19 years of experience with data, building data and analytics solutions for a wide variety of companies across networking, semi-conductors, telecom, security and fintech industries. At PayPal he is leading the product management of core big data and analytics platform products which include a compute framework, a data platform and a notebooks platform. As part of this role, Romit is working to simplify application development on big data technologies like Spark and improve analyst and data scientist agility and ease of accessing data spread across a multitude of data stores via friendly technologies like SQL and notebooks. Outside of data products, Romit's time is spent with his wife Kosha and two wonderful kids, Annika and Vedant. 

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2019 Tracks

  • Predictive Data Pipelines & Architectures

    Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix

  • Sequential Data: Natural Language, Time Series, and Sound

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • 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