Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY
Nitin Kaul

Nitin Kaul
Innovation Lead, Merck & Co., Inc.


Nitin Kaul works as an innovation lead on the Applied Technology team at Merck, where he manages projects to evaluate and apply innovative new information technologies to unmet needs and interacts with external collaborators, academic research groups, technology vendors, and commercial startups. He also serves as a project/solutions manager, solution architect, and technical lead for innovation proof of concept projects and oversees knowledge capture and transfer of the new technology into Merck for any internal engineering groups in collaboration with Internal and external SMEs. Nitin’s areas of focus include the Hadoop ecosystem, data science initiatives, open compute, distributed scale-out storage, OpenStack, microservices architecture, distributed application development, the health IT platform, and identity access management and entitlements. Nitin holds a master’s degree in computer science and a bachelor’s degree in electronics and system engineering.


9:00am–5:00pm Tuesday, 09/27/2016
Location: 1 E 12/1 E 13
Jen van der Meer (Reason Street), JOLENE JEFFRIES (GE Digital), David Boyle (Audience Strategies), Josh Laurito (Squarespace), Nitin Kaul (Merck & Co., Inc.), richard baumgartner (Merck), Vinee Kumar (Dept of Transportation), Joanne Chen (Truveris), Renee DiResta (New Knowledge), Jaya Kolhatkar (Walmart ), Ghazal Badiozamani (Elsevier), Mike Koelemay (Lockheed Martin), Erin Akred (DataKind), Michael Dowd (DataKind), Vinee Kumar (Dept of Transportation), Renee DiResta (New Knowledge), Madhuri kollu (Sabre), Tara Prakriya (Maana)
The road to a data-driven business is paved with hard-won lessons, painful mistakes, and clever insights. We're introducing a new Tutorial Day track packed with case studies, where you can hear from practitioners across a wide range of industries. Read more.
3:30pm–4:00pm Tuesday, 09/27/2016
Location: 1 E 12/ 1 E 13 Level: Intermediate
Nitin Kaul (Merck & Co., Inc.), richard baumgartner (Merck)
Average rating: **...
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Nitin Kaul and Richard Baumgartner demonstrate how Merck applies descriptive, predictive, and prescriptive analytics leveraging parallel distributed libraries and the predictive modeling capabilities of Revolution R deployed on a secure Hadoop cluster to identify the various factors for product temperature excursions and predict and prevent future temperature excursions in product shipments. Read more.