Souvik Roy

Souvik Roy

Lead AI & Ml @ LEAD School

About Souvik Roy

Souvik Roy is the Lead of AI & ML at LEAD School, with a background in data science and analytics from various companies including ZEE5 and DECA Games.

Current Role at LEAD School

Souvik Roy serves as the Lead for AI and Machine Learning at LEAD School. He has been in this role since 2020. His work focuses on developing and implementing strategies in generative AI and machine learning. The position allows him to leverage his expertise in a hybrid work model, which combines both remote and on-site responsibilities.

Previous Experience in Data Science

Prior to his current role, Souvik Roy worked as a Data Scientist at ZEE5 from 2019 to 2020 in Mumbai, Maharashtra, India. His responsibilities included analyzing data to inform business decisions and enhance user experience. He also held the position of Senior Analyst at Via.com from 2015 to 2016 in Bengaluru, where he contributed to data analysis projects.

Internship and Early Career

Souvik Roy began his career with an internship at Reliance Industries Limited in 2012, which lasted for 11 months in Jamnagar, Gujarat, India. This early experience provided him with foundational skills in data analysis and engineering. He later worked as a Consultant at Tata Consulting Engineers Limited from 2013 to 2015, where he gained experience in various projects.

International Experience in Analytics

From 2017 to 2019, Souvik Roy worked at DECA Games in Berlin, Germany, focusing on analytics and data science. This role allowed him to develop his skills in a global context, contributing to projects that utilized advanced data analysis techniques. His international experience has enriched his understanding of diverse market needs.

Educational Background in Engineering

Souvik Roy studied at Jadavpur University, where he earned a Bachelor of Engineering (B.Eng.) in Chemical Engineering from 2009 to 2013. His educational background has equipped him with a strong foundation in engineering principles, which he applies in his current work in AI and machine learning.

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