Deeptish Mukherjee is a data scientist with a background in electrical engineering and business analytics. Mukherjee began professional experience as an intern at CESC Ltd. before progressing to a decision scientist role at Mu Sigma Inc., where key contributions included establishing the Order Defect Rate KPI and analyzing the impact of free AVOD content on revenue. A practicum project at Barco involved developing a prototype tool for Tumor Board chairs to enhance decision-making. Currently, at Meta, Mukherjee focuses on improving user experiences on video content and reducing negative interactions within the Facebook app. Mukherjee holds a Bachelor of Electrical Engineering from Jadavpur University and a Master of Science in Business Analytics from the University of California, Davis.
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