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Make Data Work
Dec 4–5, 2017: Training
Dec 5–7, 2017: Tutorials & Conference
Bargava Subramanian

Bargava Subramanian
Cofounder, Machine Learning Engineer, Binaize Labs

Website | @bargava

Bargava Subramanian is a cofounder and machine learning engineer of the boutique AI firm Binaize Labs in Bangalore, India. He has 15 years’ experience delivering business analytics and machine learning solutions to B2B companies, and he mentors organizations in their data science journey. He holds a master’s degree from the University of Maryland, College Park. He’s an ardent NBA fan.


1:30pm5:00pm Tuesday, December 5, 2017
Bargava Subramanian (Binaize Labs), Amit Kapoor (narrativeVIZ)
Average rating: ***..
(3.00, 4 ratings)
One of the challenges in traditional data visualization is that they are static and have bounds on limited physical/pixel space. Interactive visualizations allows us to move beyond this limitation by adding layers of interactions. Bargava Subramanian and Amit Kapoor teach the art and science of creating interactive data visualizations. Read more.
11:15am11:55am Wednesday, December 6, 2017
Average rating: *....
(1.25, 4 ratings)
In the current Agile business environment, where developers are required to experiment multiple ideas and also react to various situations, doing cloud-native development is the way to go. Harjinder Mistry and Bargava Subramanian explain how to design and build a microservices-based cloud-native machine learning application. Read more.
1:45pm2:25pm Wednesday, December 6, 2017
Bargava Subramanian and Harjinder Mistry share data engineering and machine learning strategies for building an efficient real-time recommendation engine when the transaction data is both big and wide. They also outline a novel way of generating frequent patterns using collaborative filtering and matrix factorization on Apache Spark and serving it using Elasticsearch in the cloud. Read more.