Feb 2019 – Aug 2019 · 6 mos · Bengaluru Area, India

Jul 2017 – Jan 2019 · 1 yr 6 mos · Bengaluru Area, India

Jul 2015 – Jan 2017 · 1 yr 6 mos · Gurgaon, India

• Payments Team of Snapdeal /Freecharge

May 2014 – Jun 2014 · 1 mo · Kharagpur Area, India

• Worked on Opinion Dynamics in Social Networks: Learning Degroot Model Project
• under CNERG Group, Department of Computer Science, IIT Kharagpur
• Many social networks are characterized by actors (nodes) holding quantitative opinions about movies, songs, sports, people, colleges, politicians, and so on. These opinions are influenced by network neighbors. Actors’ opinions are usually observed globally and synchronously.
• This is also important in the context of viral marketing and information dissemination, as well as targeting messages to users in the networks. Our main goal was to estimate, not assume, edge influence strengths from an observed series of opinion values at nodes. We had adopted a linear (but not stochastic) influence model. We made no assumptions about system stability or convergence. Further, actors’ opinions may be observed in an asynchronous and incomplete fashion, after missing several time steps when an actor changed its opinion based on neighbors’
• influence. So, I had worked on dynamic optimization of factor by which the opinion of different nodes are influenced . We have opinion of nodes at two time instants and in this we have used Gradient Descent Method to optimize the factor along with Penalty Method to remove the constraints and used DeGroot Model. For detailed Study, we used results of experiments done with Reddit, Twitter etc.

Aug 2011 – Jun 2015 · 3 yrs 10 mos · Durgapur Area, India