MLDS speaker · 2020
Prakash Selvakumar
AVPGenpact
About Prakash Selvakumar
I’d really describe myself as a person with a versatile skill-set, a lot of integrity and a willingness to go the extra mile to satisfy a customer. I am data scientist by profession. At my current job in Genpact, I handle Natural Language Processing challenges for eg Document Search, Ticket Classification, Language translation, Information Extraction etc. I also help clients to create AI road map and define data science way forward. “I’m known for being a detail-oriented, well-organized team player. I never miss deadlines, I’m a good communicator and I can juggle multiple tasks at once. In my performance reviews, my supervisor always notes that he appreciates my professionalism and enthusiasm for the job. I am interested and learning Statistics, Machine Learning and Data Science. I believe that my strength is understanding the business challenge and give it data science definition. Demonstrated achievements: I and my team gave working prototype for accounts reconciliation in stock trading with intelligent NLP component which has ability to learn continuously and make improvements on outcome regular basis. I provided a text mining solution to predict a issues in the interventional x-ray devices using log files to avoid or reduce the down time. I researched about the ways to derive the knowledge from e-commerce data to infer sentiments of movie data. I successfully implemented the automatic neural labelling system which solves the problem of manual labelling. Honors and Award: Outstanding contribution as mentor Best research thesis Role model performer Star performer award Best managed project award Education qualification: PhD in NLP – Specific topic : Opinion mining and sentiment analysis – 2017 Bharathidasan University, Trichy, Tamilnadu M.C.A., -Master of Computer Application – 2005 Bharathidasan University, Trichy, Tamilnadu B.Sc., Computer Science – 2002 Periyar University, Salem, Tamilnadu Statistically Weighted Reviews to Enhance Sentiment Classification Jul 2015 Elsevier: Karbala International Journal of Modern Science Preference Based Quantified Summarization of On-Line Reviews Jul 2014 Indian Journal of Science and Technology Opinion Mining for Quantitative Analysis and Outline View of Reviews Feb 2013 International Journal of Mathematical Archive An Innovative Web Mining Application On Blogs – A Layout Jan 2012 CTACT Journal On Soft Computing A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
1 edition on the MLDS stage · 1 session on record

Talks at MLDS
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MLDS 2020
Bengaluru + Hyderabad
22–23 Jan (Bengaluru) · 30–31 Jan 2020 (Hyderabad)Jan 22, 2020 · 10:30–11:00 · Hall 3 · Bengaluru
Paper PresentationDomain Specific Word Segmentation and Hierarchy Detection using NLP Algorithm
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