14–17 Oct 2019
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Manas R Kar

Manas R Kar
Associate Vice President, Episource


Manas Ranjan Kar is a Associate Vice President at US healthcare company Episource, where he leads the NLP and data science practice, works on semantic technologies and computational linguistics (NLP), builds algorithms and machine learning models, researches data science journals, and architects secure product backends in the cloud. He’s architected multiple commercial NLP solutions in the area of healthcare, food and beverages, finance, and retail. Manas is deeply involved in functionally architecting large-scale business process automation and deep insights from structured and unstructured data using NLP and ML. He’s contributed to NLP libraries including gensim and Conceptnet 5 and blogs regularly about NLP on forums like Data Science Central, LinkedIn, and his blog Unlock Text. Manas speaks regularly about NLP and text analytics at conferences and meetups, such as PyCon India and PyData, has taught hands-on sessions at IIM Lucknow and MDI Gurgaon, and has mentored students from schools including ISB Hyderabad, BITS Pilani, and the Madras School of Economics. When bored, he falls back on Asimov to lead him into an alternate reality.


16:0016:40 Thursday, 17 October 2019
Location: Buckingham Room - Palace Suite
Manas R Kar (Episource)
Natural language processing (NLP) is hard, especially for clinical text. Manas Ranjan Kar explains the multiple challenges of NLP for clinical text and why it's so important that we invest a fair amount of time on domain-specific feature engineering. It’s also crucial to understand to diagnose an NLP model performance and identify possible gaps. Read more.
  • Intel AI
  • O'Reilly
  • Amazon Web Services
  • IBM Watson
  • Dell Technologies
  • Hewlett Packard Enterprise
  • AXA

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