Tejas Khandwekar
About Tejas Khandwekar
Tejas Khandwekar is a Data Scientist at ExxonMobil with a background in Mechanical Engineering from Visvesvaraya National Institute of Technology. He has experience in CAE analysis and training coordination, and is interested in integrating financial domain knowledge with sustainability and machine learning.
Current Role at ExxonMobil
Tejas Khandwekar currently holds the position of Data Scientist at ExxonMobil, based in Bangalore. He has been in this role since 2022. His tenure involves the application of data science techniques to address complex problems. At ExxonMobil, Tejas engages in projects that often intersect with the financial domain and sustainability considerations, reflecting his areas of interest.
Previous Experience at Simulation Lab ™
In 2021, Tejas Khandwekar worked as a CAE Analyst at Simulation Lab ™ for 2 months. During this short-term role, he was involved in computer-aided engineering projects, which likely provided him with practical experience and skills relevant to his subsequent roles in data analysis and engineering.
Education at Visvesvaraya National Institute of Technology
Tejas Khandwekar completed his education at Visvesvaraya National Institute of Technology (VNIT), where he studied Mechanical Engineering from 2018 to 2022. During his four-year education, he earned a notable distinction in his first year. His education at VNIT laid a strong foundation for his technical knowledge and analytical skills.
Role at VNIT as Training and Placement Coordinator
From 2020 to 2022, Tejas Khandwekar served as the Training and Placement Coordinator at VNIT in Maharashtra, India. In this role, he was responsible for coordinating training sessions and placement activities for students. This position likely honed his organizational skills and provided him with valuable experience in team coordination and management.
Internship Experience at ExxonMobil
Before his current role, Tejas Khandwekar completed a 2-month internship at ExxonMobil in 2021. This internship provided him with initial exposure to the company's operations and data-related projects, setting the stage for his future role as a Data Scientist at the same organization.