Presented By O'Reilly and Cloudera
Make Data Work
Dec 4–5, 2017: Training
Dec 5–7, 2017: Tutorials & Conference
Singapore
Harjindersingh Mistry

Harjindersingh Mistry
Principal Research Engineer, Ola

Harjinder Mistry is a Principal Research Engineer at Ola, where he is building a cloud-native data-science platform to solve challenging problems of fleet management. Previously, he engineered data platforms for a couple of interesting data-science projects: OpenShift.io at RedHat and Watson ML Platform at IBM. Earlier, he spent several years in the DB2 SQL Query Optimizer team, building and fixing the mathematical model that decides query execution plan. Harjinder holds an MTech from IIIT, Bangalore, India.

Sessions

11:15am11:55am Wednesday, December 6, 2017
Data engineering and architecture, Machine Learning
Location: Summit 1 Level: Beginner
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
Data science and advanced analytics, Machine Learning
Location: Summit 2 Level: Intermediate
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 and 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.