Aalok Agrawal

Machine Learning Researcher @ Indian School of Business

About Aalok Agrawal

Aalok Agrawal is a Machine Learning Researcher currently affiliated with the Indian School of Business. He has held various roles in organizations such as Kshitij, IIT Kharagpur and Communiqué IIT Kharagpur, and has pursued both a Bachelor of Technology and a Master of Technology in Electrical Engineering from the Indian Institute of Technology, Kharagpur.

Current Role at Indian School of Business

Aalok Agrawal serves as a Machine Learning Researcher at the Indian School of Business. His role involves conducting research in machine learning, contributing to the academic community, and collaborating with peers on various projects. The position reflects his expertise in the field and aligns with his educational background in electrical engineering.

Experience at Kharagpur Data Analytics Group

Aalok Agrawal is a Senior Member of the Kharagpur Data Analytics Group. His responsibilities include engaging in data analysis and machine learning projects. This role allows him to apply his technical skills and knowledge gained from his academic pursuits in a practical setting.

Previous Experience at Kshitij, IIT Kharagpur

Aalok Agrawal worked as the Tech Team Sub Head at Kshitij, IIT Kharagpur for nine months. In this position, he was involved in managing technical aspects of events and initiatives, showcasing his leadership and organizational skills within a prominent educational institution.

Involvement with Communiqué IIT Kharagpur

Aalok Agrawal held multiple roles at Communiqué IIT Kharagpur. He served as Secretary from 2020 to 2021 and as a Communiquetor from 2019 to 2020. These positions involved coordinating activities and facilitating communication within the organization, contributing to his experience in teamwork and project management.

Educational Background at IIT Kharagpur

Aalok Agrawal studied at the Indian Institute of Technology, Kharagpur, where he pursued a Bachelor of Technology (BTech) in Electrical Engineering from 2019 to 2023. He is currently enrolled in a Master of Technology (MTech) program in the same field, expected to complete in 2024. His education has provided him with a strong foundation in engineering principles and machine learning.

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