Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore

Deepak Agrawal
Vice President, Data Sciences, 24[7] Inc.

Website

Deepak Agrawal is vice president of data sciences at the 24[ 7] Innovation Labs, a part of 24[ 7] Customer Solutions. At 24[ 7] Innovation Labs, he heads the Data Science Group, which does research and development of machine learning algorithms and data engineering of next generation predictive analytics platform using Web, Speech, and Chat data.

Deepak is a known expert in big data, advanced analytics, customer insights, data/text mining, and predictive modelling. He has published in journals including Marketing Science, Journal of Marketing Research, Journal of Retailing, Journal of Direct Marketing, Journal of Promotion Management, and Journal of Indian Business Research in the areas of analytics, data mining, retailing, and franchising. He has 20+ years of data and analytics R&D experience teaching at Krannert School of Management, Purdue University, and working at Microsoft Corporation and at 24[ 7].

He holds a Ph.D. in Business from the Graduate School of Business, Stanford University.

Sessions

11:00am–11:40am Thursday, 12/03/2015
Building and deploying real time big data prediction models
Data Science and Advanced Analytics
 Location: 321-322 Level: Intermediate
Tags: commerce
Deepak Agrawal (24[7] Inc.)
Average rating: ****.
(4.00, 6 ratings)
This talk is about an application of big data predictive analytics to improve the online customer experience. The application is built using big data infrastructure with Hadoop, Cassandra, and machine learning algorithms using R and Python, that predict customer intent and take actions in real time to deliver an enhanced experience. Key challenges and lessons learned are also discussed. Read more.