Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Pramod Singh

Pramod Singh
Manager, Data Science and AI, Publicis Sapient

Website

Pramod Singh is a manager for data science at Publicis Sapient and a track lead for a machine learning platform project with Mercedes Benz. He has extensive hands-on experience in machine learning, deep learning, AI, data engineering, programming, and designing algorithms for various business requirements in domains such as retail, telecom, automotive, and consumer goods and has spent the last eight years working on data projects at product and service-based organizations. He’s the author of Machine Learning with PySpark and is also a regular speaker at major conferences and universities. He’s currently writing a couple books on deep learning and AI techniques for O’Reilly and Apress. Pramod holds a bachelor’s degree in electrical and electronics engineering from Mumbai University, an MBA focused on operations and finance from Symbiosis International University, and a data analytics certification from IIM–Calcutta. He lives in Bangalore with his wife and two-year-old son. In his spare time, he enjoys playing guitar, coding, reading, and watching football.

Sessions

1:30pm5:00pm Tuesday, March 26, 2019
Abhishek Kumar (Publicis Sapient), Pramod Singh (Publicis Sapient)
Average rating: ****.
(4.17, 6 ratings)
Abhishek Kumar and Pramod Singh walk you through deep learning-based recommender and personalization systems they've built for clients. Join in to learn how to use TensorFlow Serving and MLflow for end-to-end productionalization, including model serving, Dockerization, reproducibility, and experimentation, and Kubernetes for deployment and orchestration of ML-based microarchitectures. Read more.