Amitabh Deo

Head Product And Marketing Data Science at Next Insurance

Amitabh Deo has extensive experience in the field of data science and analytics. Amitabh most recently served as the Head of Product and Marketing Data Science at Next Insurance. Prior to that, they worked at Meta as a Product Data Scientist, focusing on monetization for WhatsApp.

Before joining Meta, Amitabh spent six years at Charles Schwab, where they held the position of Director of Marketing Analytics and Data Science. In this role, they led a team responsible for measurement, optimization, attribution, experimentation, and predictive modeling for marketing across Schwab brands. Amitabh provided recommendations to senior leadership and C-level executives to improve efficiency and drive investment decisions.

Amitabh also has experience in the technology industry, as they served as the Director of Analytics at Dice, where they developed analytic strategies for core products. Amitabh set up processes to measure business health and performance of key initiatives and presented insights and recommendations to senior management and C-level executives.

Additionally, Amitabh has worked at PayPal as a Manager in Seller Risk Management, where they developed risk strategies and decision frameworks to improve business performance and user experience. At Capital One, they held the position of Manager for both Home Loans and Card divisions, where they developed strategies, led cross-functional teams, and implemented enhancements in mortgage default and modification.

Overall, Amitabh Deo has a strong background in leading data-driven initiatives, providing strategic recommendations, and driving growth in various industries, including insurance, technology, and finance.

Amitabh Deo holds a B.Tech in Civil Engineering from the Indian Institute of Technology, Delhi. Amitabh also completed their MS in Engineering from Purdue University. Specific start and end years for these educational experiences were not provided.

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Timeline

  • Head Product And Marketing Data Science

    2023 - present

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