Current Courses

BM 510H - Management Information System (jointly with Prof Sanasam Ranbir Singh) - a core course for MBA students and elective for PhD students. [Fall 2024]
DA 624 - Recommendation System Design Using Deep Learning (Syllabus) - an elective course for 3rd-4th yr BTech, MTech and PhD students of different desciplines. [Fall 2024]
DA 331 - Big Data Analytics : Tools & Techniques - a core course for BTech in Data Science and AI, electives for BTech and MTech students of other desciplines. [Fall 2024]
DA 111 - Algorithm Design and Analysis - a core course for Online BSc in Data Science and AI for Coursera and IITG. [Summer 2024]
BM 518H - E-Commerce and its Application - a core course for MBA students. [Spring 2024]
DA 624 - NLP with Large Language Models - an elective course for 3rd-4th yr BTech, MTech and PhD students of different desciplines. [Spring 2024]
DA 214 - Database Management Systems - a core course for BTech in Data Science and AI, electives for BTech and MTech students of other desciplines. [Spring 2024]
DA 215 - Database Management Systems Lab - a core course for BTech in Data Science and AI. [Spring 2024]
DA 331 - Big Data Analytics : Tools & Techniques - a core course for BTech in Data Science and AI, electives for BTech and MTech students of other desciplines. [Fall 2023]
DA 512H - Databases (jointly with Prof Ashok Singh Sairam) - a core course for MTech in Data Science and AI. [Fall 2023]

Past Courses (TA Instructor, UF and IIITG)

Pattern Recognition (EEL 6825) - Spring 2017
Mobile & Pervasive Computing (CNT 5517/CIS 4930) - Spring 2016
Introduction to Data Mining (CIS 4930/6930) - Fall 2015
Software Testing and Verification (CEN 4072/6070) - Summer 2015
Database Management Systems (COP 5725) - Spring 2015
Operating Systems (COP 4600) Fall 2014
Soft Computing (MT 9901) - Spring 2013
Artificial Intelligence (IT 3202/MT 6607) - Spring 2013
Software Engineering (3104/MT 9903) - Fall 2012
Information Communication Technology Workshop (IT 2105) - Fall 2012

Role: Helping in preparing lab exercises, assignments and projects, acted as Lab Instructor, Delivering Talks on Recent Trends and Selected Topics of Interest, Evaluation of assignments, preparing and submission of gradations.