At Meesho, I work on ranking systems, high-ASP discovery and personalisation. I defined a user-specific high-ASP threshold using long-term price preferences, and combined recent behaviour with in-session signals to improve discovery of higher-priced products.
I’ve also improved orders per view by 2% among prepaid-preferring users and helped reduce NQD by 0.40 percentage points through ranking personalisation. Earlier, at Urban Company, I led a partner success initiative that raised category NPS from 12 to 60; at PKC Management Consulting, I improved processes and built decision-support tools.
