Vinil Kumar
About Vinil Kumar
Vinil Kumar is an Assistant Manager at KPMG India, where he leads a team of data scientists and collaborates on project proposals. He has a background in software engineering and quality assurance, with previous roles at Infosys, Dell Technologies, and SumTotal Systems.
Work at KPMG India
Currently, Vinil Kumar holds the position of Assistant Manager at KPMG India, where he has been employed since 2020. In this role, he collaborates with consultants to submit proposals and estimate efforts for new opportunities. His responsibilities include project management and client interaction, which are essential for driving successful outcomes in various projects.
Previous Experience at Infosys
Vinil Kumar worked as a Consultant at Infosys from 2018 to 2020 in Bengaluru, Karnataka, India. During his tenure, he contributed to various projects that required strong analytical and technical skills. His experience at Infosys provided him with a solid foundation in consulting and client engagement.
Background in Software Engineering
Before joining Infosys, Vinil Kumar was employed at Dell Technologies as a Software Engineer from 2016 to 2018 in Hyderabad, Telangana, India. His role involved software development and engineering tasks that enhanced his technical capabilities. Additionally, he worked at SumTotal Systems, LLC as a Software Design Engineer from 2011 to 2014, further solidifying his expertise in software design and development.
Education and Expertise
Vinil Kumar earned a Bachelor of Technology (BTech) in Information Technology from Jawaharlal Nehru Technological University, completing his studies from 2007 to 2011. His educational background has equipped him with a strong technical foundation, which he applies in his current role and throughout his career.
Technical Contributions and Leadership
Vinil Kumar has initiated the development of the KAAT application, which focuses on innovative data-driven solutions. He has also developed an audit vouching tool that utilizes OCR, OpenCV, and Python on the TensorFlow framework. Currently, he leads a team of seven data scientists, emphasizing data integrity and analysis through advanced techniques such as SVM, decision trees, and neural networks. His work includes hyper-parameter tuning to enhance model accuracy.