Arkav Banerjee

Arkav Banerjee is a skilled Data Engineer and Data Scientist with a strong background in data processing and analysis. Experience includes a role at FedEx, where Arkav led the development of an API Ingestion Framework that enhanced data processing efficiency by 70%. Notable projects involve extracting patient behavioral features at the University of Maryland and implementing dynamic pricing strategies at PwC, resulting in a 16.91% revenue increase. Arkav has also contributed to sentiment analysis at the National University of Singapore and developed a product recommendation engine for Asian Paints. Education includes a Bachelor of Technology in Electrical, Electronics and Communications Engineering and a Master of Science in Business Analytics, with exceptional academic performance.