Community Meet: Rise of Super AI (Bengaluru Chapter)

Why should you attend this meetup?

• Live real-time problem solving and interactive sessions with Data-Science leaders
• Learn about best practices to become a Data Scientist
• Gather first-hand insights on the Hack sessions on Artificial Intelligence and Machine Learning
• Opportunity to network
• Q&A with Artificial Intelligence and Machine Learning experts

Who should attend this meetup?

• Data Scientists
• Champions/Influencers
• Aspiring Data Scientists
• Students

Agenda

10:00 - 10:30 AM - Registrations

10:30 - 11:00 AM - Introduction by Tavish Srivastava

11:00 - 12:00 PM - The Art of Feature Engineering by Dipanjan Sarkar

12:00 - 01:00 PM - Building a Recommendation Engine by Janu Verma

Speaker

Dipanjan Sarkar

Dipanjan (DJ) Sarkar is a Data Scientist, a published author and a consultant and trainer. He has consulted and worked with several startups as well as Fortune 500 companies like Intel. He primarily works on leveraging data science, advanced analytics, machine learning and deep learning to build large- scale intelligent systems. He holds a Master of Technology degree with specializations in Data Science and Software Engineering. He is also an avid supporter of self-learning and massive open online courses. He plans to venture soon into the world of open-source products to improve the productivity of developers across the world.

Dipanjan has been an analytics practitioner for several years now, specializing in machine learning, natural language processing, statistical methods and deep learning. Having a passion for data science and education, he also acts as an AI Consultant and Mentor at various organizations like Springboard, where he helps people build their skills on areas like Data Science and Machine Learning. He also acts as a key contributor and editor for Towards Data Science, a leading online journal focusing on Artificial Intelligence and Data Science. Dipanjan has also authored several books on R, Python, Machine Learning, Social Media Analytics, Natural Language Processing & Deep Learning.

Janu Verma

Janu Verma is a Machine Learning Scientist at CureFit. His work is focussed on recommendations and personalization using deep neural networks and graph embeddings. Previously, he was a researcher at IBM TJ Watson Research Center in New York and at Cornell University. His background is in pure mathematics and physics.

He is a coffee entrepreneur, cyclist, runner, and hiker. He aspires to become an endurance athlete (cycling, running and hiking).

Venue

91springboard,Gopala Krishna Complex, 45/3, Residency Road, MG Road, Shanthala Nagar, Ashok Nagar, Bengaluru, Karnataka 560025

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