Dwipayan Nath
About Dwipayan Nath
Dwipayan Nath is a Teller in General Banking Operations at IndusInd Bank, currently working in Silchar, Assam. He holds an MTech in Electronics Design and Technology and has experience in various roles, including internships in broadcasting and engineering.
Work at IndusInd Bank
Dwipayan Nath currently holds the position of Teller in General Banking Operations at IndusInd Bank. He has been in this role since 2023, working in Silchar, Assam, India. As a Grade Executive in Junior Management, he is responsible for various banking operations, contributing to the overall efficiency and customer service of the branch.
Education and Expertise
Dwipayan Nath has a robust educational background in engineering and technology. He completed his Master of Technology (M.Tech) in Electronics Design and Technology from Tezpur University, achieving a first-class distinction with a score of 81.6% from 2021 to 2023. Prior to that, he earned a Bachelor of Engineering (B.E.) in Electronics and Communications Engineering from Assam Science and Technology University, graduating with a first-class degree and a score of 82.8% from 2016 to 2020.
Background
Dwipayan Nath began his academic journey at Don Bosco Higher Secondary School in Haflong, where he achieved Matriculation. He then attended Ramanuj Gupta Junior College in Silchar, completing his Higher Secondary education in Science from 2014 to 2016. His involvement in various educational institutions has provided him with a solid foundation in both theoretical and practical aspects of engineering.
Internship Experience
Dwipayan Nath has gained practical experience through several internships. He interned at Doordarshan in Silchar, where he acquired skills in the broadcasting sector. Additionally, he worked as an Engineer Intern at OLatus Systems Private Limited in Guwahati for four months in 2018, further enhancing his technical expertise and industry knowledge.
Projects and Academic Achievements
During his academic studies, Dwipayan Nath completed a project focused on 'Human Activity Recognition based on Python.' This project reflects his ability to apply theoretical knowledge to practical applications in technology and engineering. His academic performance has been consistently strong, evidenced by his first-class distinctions in both his undergraduate and postgraduate degrees.