Speaker: Chintan Turakhia

Engineering Manager @Uber

Chintan Turakhia leads engineering for Uber’s Marketplace Forecasting, Global Intelligence, and Marketplace Experimentation teams. They focus on building production level systems and algorithms for real-time spatio-temporal forecasting, capturing open market signals that impact market dynamics, and designing continuous market-level experimentation systems for Uber. He has over 14 years of industry experience in large-scale system design and mass-event planning (think SuperBowl or Olympics) and is always looking for ways to blend data, engineering, and science to solve physical world problems.

2019 Tracks

  • 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

  • Deep Learning in Practice

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