Dipanjan Dutta

Dipanjan Dutta

Park Street area, Kolkata, West Bengal, India

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Dipanjan D. posted an update in Student Developers for AI

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Dipanjan Dutta

Hello everyone!!

I am a first year Master's student in Computer Science at McGill University. I have been an AI and ML enthusiast for the last 3 years. I have worked on Fuzzy Clustering and Natural language Processing during my two years at Infosys Ltd. prior to this. We presented two papers on the use of Fuzzy Clustering and NLP to efficiently predict and estimate the response and resolution times of IT maintenance tickets.

I am currently studying video game research and plan to do my thesis on development of AI in computer games so that the bots can make smarter and counter moves according to the player, which would make gaming more intuitive and provide players with a more realistic experience.

I have also worked on Data Analytics on large datasets, drawing insights from them and providing clients with more efficient solutions and realise points of correction within a client's system.

I am fluent in R and Java. I am currently studying Algorithmic Game Theory to incorporate the rules of economic gain within a computer game AI. My other interests include gaming, semantics and programming languages.

Below are the following links for the papers presented at the conferences.:

  1. COMAD 2017 Industry Track; Suman Roy, Dipanjan Dutta, Durga Prasad Muni and Adrija Bhattacharya; "Fuzzy prediction of QoS for IT maintenance tickets" comad.in/comad2017/industry_track.html

  2. ICWS 2017; Suman Roy, Durga Prasad Muni, Adrija Bhattacharya, Dipanjan Dutta, Navin Budhiraja; "Fuzzy QoS modelling of iT maintenance tickets"

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Dipanjan D. updated status

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Dipanjan Dutta

Hello everyone!!

I am a first year Master's student in Computer Science at McGill University. I have been an AI and ML enthusiast for the last 3 years. I have worked on Fuzzy Clustering and Natural language Processing during my two years at Infosys Ltd. prior to this. We presented two papers on the use of Fuzzy Clustering and NLP to efficiently predict and estimate the response and resolution times of IT maintenance tickets.

I am currently studying video game research and plan to do my thesis on development of AI in computer games so that the bots can make smarter and counter moves according to the player, which would make gaming more intuitive and provide players with a more realistic experience.

I have also worked on Data Analytics on large datasets, drawing insights from them and providing clients with more efficient solutions and realise points of correction within a client's system.

I am fluent in R and Java. I am currently studying Algorithmic Game Theory to incorporate the rules of economic gain within a computer game AI. My other interests include gaming, semantics and programming languages.

Below are the following links for the papers presented at the conferences.:

  1. COMAS 2017 Industry Track; Suman Roy, Dipanjan Dutta, Durga Prasad Muni and Adrija Bhattacharya; "Fuzzy prediction of QoS for IT maintenance tickets" comad.in/comad2017/industry_track.html

  2. ICWS 2017; Suman Roy, Durga Prasad Muni, Adrija Bhattacharya, Dipanjan Dutta, Navin Budhiraja; "Fuzzy QoS modelling of iT maintenance tickets"

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