Vipul Agrawal

Leading the Data Science team in the Cognitive WiFi project, architecting, productionizing, and maintaining multi-tenant, cloud-scale AI systems and intelligent workflows.

Led the ML effort in the Trust Insights team in the Messaging division, developing and productionizing spam detection and SMS toll fraud systems.

Led the Search team, responsible for search relevance and content discovery, developing a learning-focused search architecture and improving query understanding.

Led a team of data scientists working on user segmentation for billions of users' data for ad targeting, including demographic prediction and lookalike generation.

Implemented multiple projects for user segmentation, including ETL pipelines, cross-device linking, and ad detection in video streams.

Formulated the Remarketing Model for RTB inventory, enabled adaptive pricing, and scaled campaigns through data analytics.

Worked on market mix optimization and dynamic pricing platform for event tickets, including econometric modeling and demand forecasting.

Part of the engineering team developing the JovianDATA Analytical Platform, implementing a patented design for distributed data access for big-data analytics.

Pursued M.Sc. (Engg) in Computer Science and Automation, focusing on machine learning methods for predicting hard drive failures.

Earned a Bachelor of Technology in Computer Science and Engineering.