Vinit Bachhav
About Vinit Bachhav
Vinit Bachhav is a Data Scientist and Team Lead at Truecaller, where he has worked since 2019. He holds a Master's degree in Data Science from Liverpool John Moores University and has a background in operations management and product operations.
Current Role at Truecaller
Vinit Bachhav currently serves as a Data Scientist and Team Lead at Truecaller, a position he has held since 2023. In this role, he leads a team of data scientists, focusing on data analysis and operational efficiency. His responsibilities include overseeing data-driven projects and ensuring the effective application of data science methodologies within the organization.
Previous Experience at Truecaller
Prior to his current role, Vinit Bachhav worked at Truecaller from 2017 to 2023. He initially served as Manager - Product Operations for three years, where he managed product-related operations. He later transitioned to a Data Scientist role, where he contributed for four years, applying his expertise in data analysis and process improvement.
Education and Expertise
Vinit Bachhav holds a Master of Science in Data Science from Liverpool John Moores University, which he completed in 2021. He also earned a Post Graduate Diploma in Data Science from the International Institute of Information Technology Bangalore in 2020. His educational background is complemented by a Bachelor of Engineering in Electronics Engineering from the University of Mumbai, achieved in 2016.
Professional Background
Vinit Bachhav has a diverse professional background that includes roles in operations management and data science. He began his career as a Summer Trainee at HP in 2014 and later worked as an Operations Consultant at Uber for two months in 2016. He also held positions at Chillr and IEEE, where he gained experience in product operations and student representation, respectively.
Skills in Fintech and Data Handling
Vinit Bachhav possesses expertise in vendor management and reconciliations within the fintech industry. His strong background in process improvement and data handling has been instrumental in his transition from operations management to data science roles. This skill set enables him to effectively analyze data and implement strategies that enhance operational efficiency.