Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Srini Kumar

Srini Kumar
Vice President of Product Management and Data Science , LevaData, Inc.

Srini Kumar is the vice president of product management and data science at LevaData, Inc. Previously, he was a director of data science in the Algorithms and Data Science group at Microsoft, where he worked with strategic customers in the areas of Cortana Analytics and Microsoft R Server; headed product management for the information management (EIM) product suite at SAP; originated and architected a product on HANA to analyze human genome variants, which led to a discovery relating diabetes to a person’s origin and resulted in two patent applications related to modeling genomic variants and one related to enterprise information management; and helped turn around and sell a startup in the area of on-demand supply chain management software. Srini holds a master’s degree in industrial engineering from the University of Wisconsin-Madison and a bachelor’s degree in mechanical engineering from the Indian Institute of Technology, Madras.


9:00am12:30pm Tuesday, March 14, 2017
Data science & advanced analytics
Location: LL21 C/D Level: Intermediate
Secondary topics:  R
Vanja Paunic (Microsoft), Robert Horton (Microsoft), Hang Zhang (Microsoft), Srini Kumar (LevaData, Inc.), Mengyue Zhao (Microsoft), John-Mark Agosta (Microsoft), Mario Inchiosa (Microsoft), Debraj GuhaThakurta (Microsoft)
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Join in to learn how to do scalable, end-to-end data science in R on single machines as well as on Spark clusters. You'll be assigned an individual Spark cluster with all contents preloaded and software installed and use it to gain experience building, operationalizing, and consuming machine-learning models using distributed functions in R. Read more.