Tejas Tanksale
About Tejas Tanksale
Tejas Tanksale is a Senior Data Scientist at Smiths Detection, where he has worked since 2022. He has a background in machine learning and research, with previous positions at Continental, Fraunhofer IGD, and IBM.
Work at Smiths Detection
Tejas Tanksale has been employed at Smiths Detection since 2022, serving as a Senior Data Scientist. In this role, he focuses on leveraging data science techniques to enhance detection technologies. His work contributes to the development of advanced security solutions that are critical in various sectors, including transportation and public safety.
Previous Experience at Continental
Before joining Smiths Detection, Tejas Tanksale worked at Continental as a Machine Learning Engineer from 2020 to 2022. Based in Bengaluru, Karnataka, India, he applied machine learning algorithms to improve product performance and efficiency. His experience at Continental involved collaborating with cross-functional teams to implement data-driven solutions.
Research Role at Fraunhofer IGD
Tejas Tanksale spent four years at Fraunhofer IGD from 2015 to 2019, where he held the position of Researcher. His work in the Darmstadt Area, Germany, focused on innovative research projects in the field of computer science. Prior to this role, he was an Intern/Research Assistant at the same institution from 2014 to 2015, gaining valuable experience in research methodologies.
Early Career at IBM
Tejas Tanksale began his professional career as an Associate System Engineer at IBM in Pune, Maharashtra, India, from 2011 to 2012. In this role, he was involved in system engineering tasks that supported the development and maintenance of software solutions.
Education and Expertise
Tejas Tanksale holds a Master of Science (MS) degree in Information and Communication Engineering from Technische Universität Darmstadt, which he completed from 2012 to 2015. He also earned a Bachelor of Engineering (BE) in Electronics and Telecommunications from Pune Institute of Computer Technology, graduating in 2011. His educational background provides a strong foundation in data science and engineering principles.