I am working as a Data Scientist at Quiq, where our team is applying natural language processing to analyze textual interactions between customers and businesses. Our aim is to build large-scale machine learning models to enhance the quality of conversation between customers and customer care agents. I completed my Master of Science (MS) in Computer Science from Clemson University in May 2021. I was awarded the Outstanding Masters Student in Computer Science award by the School of Computing, Clemson University on April, 2020. As a graduate researcher, my experience involves around Artificial Intelligence, Machine Learning, Character Animation and Autonomous Driving. Our paper on using Motor Babble to train co-ordinated locomotion controllers for virtual agents with arbitrary morphologies won the best paper award at MIG 2021! My Master's Thesis was on Training Physics-Based Characters to Dance to Music. We are using novel GAN structures to generate dance moves for arbitrary characters, and training them to dance to arbitrary songs using Deep Reinforcement Learning. I presented a poster on this work at MIG 2020, and we won the best poster award on that conference. Alongside my research, I also performed TA duties for three of the four semesters I spent in graduate school.Please visit https://www.avishekbiswas.com for more details about my projects. Thanks for reading!