Led end-to-end development of three Machine Learning (ML)-driven, hyper-personalized experiences for sellers by partnering with Data Science, unlocking a new market segment and generating 45% of quarterly revenue within 2 months of launch
Led the end-to-end product development of Custom ASIN Lists from zero-to-one, including customer & market research, business case development, requirement definition, design, pricing & GTM strategy, beta test program, and public launch

Built ‘Seller Authentication’ tools to enhance the seller onboarding process; Partnered with Engineering to integrate automated document validation and fraud identification, resulting in a reduction of onboarding time by 40%
Developed rule-based access monitoring for secondary users of selling account, integrating seller risk models to detect fraud and ensure regulatory compliance, averting a $3M penalty.

Accelerated time-to-launch an ad campaign by 50% within 6 months by orchestrating senior executive support for off-cycle feature development across 30+ Product team
Established the ‘Voice of Seller’ program, conducted user journey and walkthroughs with senior leadership and interviewed 50+ sellers to identify 100+ pain points and introduced features to resolve 40+ defects, leading to an increase in NPS by 30%
Developed and executed a cohesive A/B test vision, fostering a culture of experimentation that significantly enhanced product quality

Sample of the product grading model

Sample from the recommendation tool

Sample from risk scoring system