The Hitchhiker’s Guide to A Kaggle Competition

Krishna Sankar is currently a Lead Software Engineer/Data Scientist at genophen.com developing scientific/consumer bioinformatics systems based on AWS, MongoDB & HKrishna Sankar is currently a Principal Architect/Data Scientist with the NextGen Big Data group at Tata Consultancy Services . Prior to this he was Director of Engg/Data Science at a startup, working on bioinformatics/consumer applications in AWS. He also has worked at Egnyte as a Lead Architect, developing cloud object store layer (handling billions of files/petabytes of storage) and security (federated Identity/SSO); and before that he was at Cisco as a Distinguished Engineer, lastly working on various aspects of Big Data and Cloud Computing. Krishna’s recent speaking engagements include OSCON 2012 Social Media Analysis with Twitter[http://goo.gl/mFflw], OSCON 2011 –Hitchhiker’s Guide to Kaggle[http://goo.gl/75X7w] & OSCON 2010 [http://goo.gl/8Ukiw] as well as guest lecturing at the Naval Postgraduate School on Big data [http://goo.gl/2pBYS]. His interests include big data stacks – from infrastructure to visualization, highly scalable cloud architectures & intelligent inferences. In his spare time, he is pursuing the Mining Massive Data Sets Graduate Certificate at Stanford. He also writes books – including “Cisco Wireless LAN Security” and “Enterprise Web 2.0”. His other passion is Lego Robotics and is contributing as Technical Judge in local & Lego world competitions.adoop. Prior to this, he was a Lead Architect at egnyte.com, developing cloud object store layer (handling billions of files/petabytes of storage) and security (federated Identity/SSO); and before that he was at Cisco as a Distinguished Engineer, lastly working on various aspects of Big Data & Cloud Computing. His latest RFC 6208 is on cloud storage & CDMI. He been developing systems for the last 30+ years – from C/CPM to Cobol to Ada to Java to … His interests include big data stacks – from infrastructure to visualization, highly scalable cloud architectures & intelligent inferences. He is pursuing the Mining Massive Data Sets Graduate Certificate at Stanford. He also writes books – including “Cisco Wireless LAN Security” and “Enterprise Web 2.0”. His other passion is Lego Robotics and is contributing as Technical Judge in local & Lego world competitions.

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