Krishna Sankar

Krishna Sankar
Principal AI Data Scientist, Volvo Cars

Website | @ksankar

Krishna Sankar is a consulting data scientist working on retail analytics, social media data science, and forays into deep learning, as well as codeveloping the DeepLearnR package interfacing R over TensorFlow/Skflow. Previously, Krishna was a chief data scientist at Blackarrow.tv, where he focused on optimizing user experience via inference, intelligence, and interfaces. Earlier stints include principal architect/data scientist at Tata America Intl., director of data science at a bioinformatics startup, and distinguished engineer at Cisco. He is a frequent speaker at conferences, including Spark Summit, Spark Camp, OSCON, PyCon, and PyData, on topics such as predicting NFL winners, Spark, data science, machine learning, and social media analysis, as well as a guest lecturer at the Naval Postgraduate School. Krishna’s occasional blogs can be found at Doubleclix.wordpress.com. His other passion is Lego robotics. You will find him at the St. Louis First Lego League World Competition as a robot design judge.

Sessions

Data
Location: E145-146 Audience level: Intermediate
Krishna Sankar (Volvo Cars)
Average rating: **...
(2.33, 12 ratings)
Social media has become the true mirror of the society & no doubt, Twitter is silver behind the glass. An understanding of the underlying network models reflected by the tweets & associated metadata enables one to infer and predict. In this tutorial, we will derive domain metrics like Cliques and Brand Rank by applying SNA principles via Twitter APIs. Read more.

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