Udit Gupta
About Udit Gupta
Udit Gupta is a Data Scientist III based in Bengaluru, India, with a background in electronics and communications engineering. He has experience in developing machine learning algorithms for road safety and has worked at Zendrive and Bharat Electronics.
Work at Zendrive
Udit Gupta currently holds the position of Data Scientist - III at Zendrive, where he has been employed since 2022 in Bengaluru, Karnataka, India. Prior to this role, he served as Data Scientist - II from 2020 to 2021 and as Associate Data Scientist from 2019 to 2020. During his tenure at Zendrive, he developed machine learning algorithms aimed at enhancing road safety and focused on detecting vehicle collisions using smartphone sensor data. His work has contributed significantly to the company's initiatives in improving road safety through data-driven solutions.
Education and Expertise
Udit Gupta earned his Bachelor of Technology (BTech) in Electronics and Communications Engineering from Meerut Institute of Engineering and Technology (MIET) from 2010 to 2014. He further advanced his education by completing a Master of Technology in Computational and Data Science at the Indian Institute of Science (IISc) from 2017 to 2019. His academic background provides a strong foundation for his expertise in data science, particularly in areas such as machine learning and data analysis.
Background
Before joining Zendrive, Udit Gupta worked at Bharat Electronics as a Deputy Engineer from 2014 to 2017 in the Greater Bengaluru Area. This role contributed to his technical skills and experience in engineering, which he later applied in his data science career. His professional journey reflects a consistent focus on leveraging technology to solve complex problems.
Achievements
Udit Gupta has contributed to multiple publications and presentations in the field of data science. His work includes significant contributions to trip mode detection and driver versus passenger identification. He also explores the intersections of data science and financial markets, demonstrating a keen interest in finance-related topics. His achievements highlight his commitment to advancing knowledge in data science and its applications.