Built a bank products recommendation to the customers using the concept of multilabel classification for one of a banking clients of Cognizant. Different multilabel classifiers are used for predictions and get good results using OneVsRestClassifier with Random Forest.

Conversational chatbot with Rasa Stack and Python-Rasa NLU for one of clients of Cognizant. Their use case was to have a chatbot for site engineers or customers to get resolution for any problems with any of the parts of tractors and trucks the company provides, based on any image or text they provide .

Designed an algorithm for solving Multi-attribute Decision-making problems using Probabilistic Interval-Valued Intuitionistic Hesitant Fuzzy set and PSO. (Accepted for publication in the lecture series entitled “Advances in Intelligent Systems and Computing (SCOPUS) by SPRINGER PUBLICATIONS”).

Accepted for publication in the lecture series entitled Advances in Intelligent Systems and Computing (SCOPUS) by SPRINGER PUBLICATIONS).