About

Hari Hara Sudaan Krishnen is a graduate student with a passion for data analytics and advanced data-driven methods. With experience in predictive modeling and developing analytical dashboards, Hari has a proven ability to deliver insights through data analytics. Hari is an experienced developer of machine learning systems, with a focus on saving costs in sales and use tax. He is also skilled in developing microservice-based web applications and has experience in all phases of the SDLC, having worked for different clients and projects. Currently, Hari is working as an Indirect Tax Technology Intern at EY, where he is actively developing his skillset in creating cutting-edge NLP and deep learning solutions. Prior to this, he worked as a Department Representative - Informatics and a Front Desk Associate at New Jersey Institute of Technology. Hari has a Master of Science degree in Information Systems from New Jersey Institute of Technology, where he graduated in 2019. He also holds a Bachelor of Engineering degree in Computer Science & Engineering from PSG College of Technology, where he graduated in 2016. Hari's tech stack includes deep learning, NLP, ML, microservices, and web development. He has 4.77 years of relevant experience in the field and is always looking to expand his knowledge and skillset.