Saurabh Kamble
About Saurabh Kamble
Saurabh Kamble is a Data Scientist with a background in Natural Language Processing and Deep Learning. He has held various instructional and engineering roles across multiple organizations in India, including InfoVision Inc., CIGNEX, and EDUONIX.
Work at InfoVision
Saurabh Kamble currently serves as a Data Scientist at InfoVision Inc., a position he has held since 2023. In this role, he applies his expertise in data science to various projects in the Greater Bengaluru Area. Prior to this, he worked as a Natural Language Processing Engineer at InfoVision for six months in 2023, where he focused on developing NLP solutions.
Education and Expertise
Saurabh Kamble holds a Bachelor of Engineering degree in Information Technology from Vishwakarma Institute of Technology. He also studied Data Modeling/Warehousing and Database Administration at Aegis School of Business, where he earned another Bachelor of Engineering degree. His technical skills include proficiency in Natural Language Processing, Deep Learning, and the use of Pytorch for machine learning applications, as well as Tableau for data visualization and analytics.
Background in Data Science Instruction
Saurabh has extensive experience in data science education, having worked as a Data Science Instructor at several institutions. He taught at Innomatics Research Labs for two months in 2021, at Simplilearn for two months in 2021, and at BADATYA for three months in 2022. He also served as a Data Science Trainer at EDUONIX from 2022 to 2023 for nine months, and at BIT - Baroda Institute of Technology from 2020 to 2022 for two years.
Previous Work Experience
Before his current role, Saurabh Kamble held various positions in the data science field. He worked as a Data Science Engineer at CIGNEX from 2021 to 2022 for one year and as a Data Specialist at Gartner for five months in 2021. Additionally, he served as an NLP Engineer at TEKGILE SOLUTIONS PRIVATE LIMITED for four months in 2023 and as a Data Science Instructor at Dataisgood for two months in 2022.