About

Ankit Singh is a skilled professional with over 7 years of experience in driving social impact through Ed-Tech, skilling, and innovation. He is currently working as a Manager - Government Business (Vocational Education Practice) at TCS. Ankit has been entrusted with the responsibility of managing multiple stakeholders such as National Skill Development Corporation, Government, Academia, Industry Partners, Training Partners & Assessment Agencies of SSC NASSCOM along with their offerings in IT-ITeS skill development initiatives & services. Ankit's expertise lies in leading the program management activity for SSC NASSCOM with respect to training, course adaptation, capacity building, engaging academia, assessment & certification. He is focused on increasing awareness and adoption of courses/job standards on identified emerging technologies such as Cloud Computing, Artificial Intelligence, Big Data Analysis, Cyber Security, Digital Marketing, 3D Printing, Machine Learning, etc. for academic institutions. Ankit has a strong background in capacity building, especially for academic institutions through industry and SMEs & successful program roll-out in conjunction with regional teams by training of faculties/trainers. He liaises with cross-functional teams in identifying high demand technologies and validating skill gaps, w.r.t existing & upcoming job roles and standardizes the existing programs to bridge skill gaps as per industry demand. Ankit's other key skills include development of strategic alliances, planning and execution of state/academia projects. He has previously worked as a Manager - Training and Efficacy at NASSCOM and as a Team Lead - (Web Development Group) at Elets Technomedia. Ankit holds a Bachelor of Engineering (B.E.) degree in Computer Software Engineering from Asia Pacific Institute of Information Technology, Panipat, Haryana, and a Post Graduate Programme in Management for Working Executives in Business Administration, Management and Operations, Strategy, Marketing from IIM. He is proficient in Big Data, ML, and Web technologies.