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“BCIC Speaker Series” in Collaboration with Siddaganga Institute of Technology

Event Detail

Artificial Intelligence is pervading across the breadth of our lives and businesses are trying their best to catch up with technology that are constantly evolving in this field. Opportunities for the workforce that is coming into the industry are plenty. IT Industry in India is reeling under a severe shortage of manpower in the fields of AI. Hence it is all important that we work with Academia to trigger interest and understanding in this field.


    • Opening (10 Minutes)      Manas Dasgupta, Chair of ICT-3I Committee, BCIC

      Keynote (10 Minutes)      Principal, SIT


      Speakers Profile

      Vijay Chandra Telukapalli

      Topic: Machine Learning – Predictive Models, Regression, Polynomial, using Python in ML, Chatbots

      Vijay Chandra is a Cloud Architect at IBM GSI Labs. He has extensive experience in architecting, designing and implementing SOA, web applications and cloud computing. As an architect Vijay worked in various product development including IBM Middleware, Analytics and Mobile.  He is passionate about Machine Learning, Deep Learning and currently involved in applying these technologies to solve real world problems.


      Siddhartha Mishra

      Topic: Banking Use cases of AI

      Siddhartha is working with Wells Fargo as a Data Science practitioner. Prior to this, he was working with GE Digital as a Data Scientist. Has 8 years of experience in Data Science. He is a Masters in Economics and graduated in Mathematics. His passion is Data and Analytics, Statistics, Machine Learning, Macro Economics, Public Policy Analysis, Management and Public Sector Consulting.


      Seilesh M Sankappa

      Topic: A Demo on Automation of Document Processing and Analysis using Natural Language Processing and Text Analytics.

      Sheilesh is a Post Graduate in Statistics with cumulative 15 years of experience in Analytics and Market Research. Sheilesh specializes in machine Learning / Statistical Learning, data Mining Text Mining, Project and Team Management across domains.


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