Rahul Shekhawat

Rahul Shekhawat

Data Scientist @ SOTI

About Rahul Shekhawat

Rahul Shekhawat is a Data Scientist at SOTI in Mississauga, Ontario, specializing in deep learning and computer vision. He holds a Master of Science in Applied Computing from the University of Toronto and has a background in Electrical and Electronics Engineering from Amity University Noida.

Work at SOTI

Rahul Shekhawat has been employed at SOTI as a Data Scientist since 2021. In this role, he focuses on projects involving deep learning, computer vision, and robotics. His work contributes to the development of innovative solutions within the company. Prior to his current position, he completed a Research and Development internship at SOTI in 2020, where he gained valuable experience in the field.

Education and Expertise

Rahul Shekhawat holds a Master of Science in Applied Computing from the University of Toronto, which he completed in 2020. He also earned a Bachelor of Technology in Electrical and Electronics Engineering from Amity University Noida in 2015. His academic background supports his expertise in deep learning, which is a significant aspect of his current role at SOTI.

Background

Before joining SOTI, Rahul Shekhawat worked at Mu Sigma Inc. in various roles, including Innovation Lab Research Analyst and Decision Scientist, from 2015 to 2018. He also served as an Assistant Manager in Decision Sciences at HSBC for six months in 2019. His diverse experience in data science and analytics has shaped his professional development.

Professional Experience

Rahul's professional journey includes multiple positions at Mu Sigma Inc., where he worked as an Apprentice Leader and later as a Decision Scientist. His role at HSBC as an Assistant Manager in Decision Sciences further enhanced his analytical skills. This cumulative experience has equipped him with a strong foundation in data-driven decision-making.

Research Interests

Rahul Shekhawat has a keen interest in emerging technologies, particularly quantum computing and differential privacy. These interests reflect his commitment to staying at the forefront of advancements in data science and technology, contributing to his ongoing professional growth.

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