Manas Ranjan Kar

Data is a precious thing and will last longer than the systems themselves

- Tim Berners

Manas Ranjan Kar

Associate Vice President - Data Science & NLP
Episource LLC
I am currently leading the NLP & Data Science practice at Episource, a US healthcare company. My daily work revolves around working on semantic technologies and computational linguistics (NLP), building algorithms and machine learning models, researching data science journals and architecting secure product backends in the cloud.
Database Languages Machine Learning NLP Python Language models
  • Episource LLC
    Associate Vice President - Data Science & NLP
    2017 - Current
  • QuikFynd, Inc.
    Lead Engineer - NLP & Machine Learning
    The consulting role with Quikfynd involved building the following NLP & machine learning engines and deploy them in production. 1. Text Classification Engine - classify incoming documents into one of 16 classes for user access, using deep learning and linguistic feature extraction methods 2. NLIDB Engine - convert a free text query into a SQL query, to create a better document search experience for a user 3. Clustering Engine - create clusters of similar documents, that can be showcased upon selection of a seed document
    2016 - 2016
  • Management Development Institute
    Guest Speaker
    Multiple sessions to the PGPM, EPGDM and PGPM (Part-Time) students on evolution of Machine Learning in CRM, services, sales and finance. The focus of such sessions was to make the future managers aware of what's in store tomorrow and how fascinating technology is going to change the way we do business.
    2015 - 2016
  • Indian Institute of Management, Lucknow
    Guest Speaker
    Multiple hands-on sessions in the area of text analytics. The students were mainly shown how to extract insights from text using NLP. Also included was a session on scraping data from web without writing a line of code !
    2015 - 2016
  • Juxt Smart Mandate
    Practice Lead -Text Analytics
    Work with unstructured data i.e. textual content - comments, social media, reviews to extract insights. - Application of machine learning to build text analytics solutions - Automate business processes for efficiency & productivity - Build algorithms for extracting multiple facets from text - gender of author, keywords, sentiment, taxonomies, concepts, entities - Combine and augment unstructured insights with structured data - Delivered talks at IIM, Lucknow on using efficient processes & techniques for NLP & text analytics
    2015 - 2016
  • Smart Mandate
    Practice Lead - Business Intelligence
    Large scale business process automation & deep insights from structured & unstructured data using Natural Language Processing & Machine Learning - Build recommendation engine for automated medical coding services - Extract topics, concepts, sentiment & entities from customer reviews - Build models to predict taxonomies for textual content - Create machine learning algorithms for topic detection & sentiments - Competitive intelligence algorithms to monitor events & trends for startups & SMEs
    2013 - 2014
  • Marsh
    Summer Intern
    2012 - 2012
  • Adhikar Grameen Products Pvt. Ltd. (AGPPL)
    2012 - 2012
  • SEED
    Student Intern
    2011 - 2012
  • International Institute of Information Technology
    Advanced Summer School on NLP, Computational Linguistics
    It is a two week intense bootcamp on Natural Language Processing with lectures and project guidance by internationally renowned researchers in the area. During the summer school the participants will work, under the supervision of experts in the respective area, to come up with substantial advancement in their chosen project. Participants will get to present their project at the end of the school. The topics covered were, but not limited to, speech recognition, dialogue systems, question answering systems, information extraction, named entity recognition and morphological analysis,
    2016 - 2016
  • University of California, Berkeley
    2 Day Bootcamp, Deep Reinforcement Learning
    This two-day long boot camp dealt with the foundations of Deep RL through a mixture of lectures and hands-on lab sessions, so we can go on and build new fascinating applications using these techniques and maybe even push the algorithmic frontier. The bootcamp involved lectures from some of the leaders in the field like Peiter Abeel, Andrej Karpathy and Sergey Levine. There were hands-on programming sessions dealing with the introductory and intermediate level of reinforcement learning techniques as well.
    2017 - 2017
  • SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
    Master of Business Administration (MBA), Decision Sciences & Analytics
    2011 - 2013

Programs I mentor

I 'instruct', 'teach', 'solve doubts' and do 'hands-on activities'

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