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
Cofounder and Full Stack Data Scientist, Unnati Data Labs

Website

Nischal HP is the cofounder and data scientist at Unnati Data Labs, where he is building end-to-end data science systems in the fields of fintech, marketing analytics, and event management. Nischal is also a mentor for data science on Springboard. Previously he built, from scratch, various ecommerce systems for catalog management, recommendation engines, and sentiment analyzer during his tenure at Redmart and built various data crawlers and intention mining systems and laid down initial work on an end-to-end text mining and analysis pipeline at SAP Labs. The majority of his work, however, was centered around building gamification of technical indicators for algorithmic trading platforms. 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 of open source and loves to architect big, fast, and reliable systems. In his free time, he enjoys music, traveling, and meeting new people.

Sessions

4:20pm5:00pm Thursday, March 16, 2017
Data engineering and architecture
Location: LL20 A Level: Intermediate
Secondary topics:  Architecture
Nischal HP (Unnati Data Labs), 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.