Surya Prakash

Data Engineer @ HyperVerge

About Surya Prakash

Surya Prakash is a Data Engineer at HyperVerge, where he designs and maintains scalable data pipelines using ETL, data analysis, and Python. He is currently studying Data Science and Applications at IIT Madras and has a background in Computer Science from Kumaraguru College of Technology.

Work at HyperVerge

Surya Prakash currently serves as a Data Engineer at HyperVerge, a position he has held since 2023. In this role, he utilizes his skills in ETL, data analysis, and Python to design and maintain scalable data pipelines. His work contributes to the efficient management and processing of data, supporting the company's data-driven initiatives.

Education and Expertise

Surya Prakash is pursuing a Bachelor of Science in Data Science and Applications at the Indian Institute of Technology, Madras, expected to graduate in 2025. He previously completed a Bachelor of Engineering in Computer Science at Kumaraguru College of Technology from 2020 to 2024. His academic background equips him with a solid foundation in data science, machine learning, and statistics, which he actively applies in his current role.

Background in Event Leadership

Before joining HyperVerge, Surya Prakash worked as an Event Lead for the Computer Society at IEEE KCT Student Branch from 2022 to 2023. In this capacity, he organized and coordinated various events, including hackathons, coding competitions, and guest lectures, enhancing the learning experience for fellow students in Coimbatore, Tamil Nadu.

Previous Experience at NSS_RRC_VBC

Surya Prakash also served as an Editor at NSS_RRC_VBC from 2022 to 2023. In this role, he contributed to the organization by managing content and communications, further developing his skills in teamwork and project management.

Passion for Data Innovation

Surya Prakash is passionate about leveraging data to drive innovation and create value across various industries. He is eager to collaborate with others and take on new challenges in the field of data engineering, reflecting his commitment to continuous learning and professional growth.

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