Richa Sevatker
About Richa Sevatker
Richa Sevatker is a Senior Research Engineer at the Centre for Development of Telematics (C-DOT) in New Delhi, India, where she has worked since 2016. She holds a Bachelor of Technology in Computer Science from Maulana Azad National Institute of Technology and specializes in programming languages such as Python and JavaScript, along with expertise in Machine Learning.
Work at Centre for Development of Telematics
Richa Sevatker has been employed at the Centre for Development of Telematics (C-DOT) since 2016, serving as a Senior Research Engineer. In this role, she contributes to the development of telecommunications technologies, focusing on innovative solutions that enhance communication systems. Her work involves applying her programming skills and expertise in machine learning to various research projects, aimed at advancing the telecommunications sector.
Education and Expertise
Richa Sevatker earned her Bachelor of Technology (B.Tech.) in Computer Science from Maulana Azad National Institute of Technology, completing her studies from 2012 to 2016. Her educational background provides a strong foundation in computer science principles, which she applies in her current role. She possesses expertise in programming languages such as Python and JavaScript, essential for developing effective telecommunications solutions.
Background
Richa Sevatker has a solid background in programming, which supports her work in the telecommunications field. Her experience includes contributing to the development of innovative technologies that address various challenges in communication systems. This background equips her with the necessary skills to engage in complex research projects and implement effective solutions.
Skills in Machine Learning
Richa Sevatker has developed strong skills in machine learning, which she applies to telecommunications research projects. Her expertise in this area allows her to leverage data-driven approaches to enhance the effectiveness of communication technologies. This skill set is increasingly important in the telecommunications industry, where machine learning plays a critical role in optimizing systems and processes.