Abhijit is a Senior Data Transformation Analyst at S&P Global, focusing on the Automotive Aftermarket. He specializes in building, validating, and implementing machine learning forecast models and improving ETL pipelines to enhance data accuracy and efficiency.
Abhijit has over 7 years of experience across multiple business lines in the automotive and retail sectors. He previously led a pioneering project to forecast global vehicle scrappage and recycling worldwide. His background also includes developing pricing strategy models while working with Leroy Merlin.
He holds a Master’s degree in Big Data Analytics for Business and a Bachelor’s degree in Electronics and Telecommunication Engineering.