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

Nischal HP
VP Engineering and Data science, omni:us

Website

Nischal HP is the VP of engineering and Data science at omni:us, A Berlin-based AI startup that is focussed on bringing AI into the insurance world for claims processing.Nischal is also a mentor for data science career track on Springboard.

Previously he has had the privilege of working on various ecommerce systems for catalog management, building data science systems in the domains of fintech, marketing analytics, and event management, recommendation engines, algorithmic trading and gamification of trading indicators.

Nischal has conducted workshops in the field of deep learning across the world and has spoken at a number of data science conferences. He is a strong believer in open source and loves to architect reliable systems. In his free time, he enjoys music, traveling, and spending time with his SO.

Sessions

4:20pm5:00pm Thursday, March 16, 2017
Data engineering and architecture
Location: LL20 A Level: Intermediate
Secondary topics:  Architecture
Nischal HP (omni:us), Raghotham Sripadraj (Ericsson)
Average rating: ****.
(4.67, 3 ratings)
Not all data science problems are big data problems. Lots of small and medium product companies want to start their journey to become data driven. Nischal HP and Raghotham Sripadraj share their experience building data science platforms for various enterprises, with an emphasis on making the right architecture choices and using distributed and fault-tolerant tools. Read more.