At S S Engineering, I analyzed user request patterns and operational data to identify factors contributing to Request Loss. My recommendations helped reduce Request Loss by approximately 12–15% during peak demand, and proposed workflow changes improved turnaround time by 21%.
For my E-Commerce Funnel & Drop-off Analysis project, I used SQL to examine 120,000 user sessions and identified a 65.13% drop-off from View to Cart. I also quantified Rs. 40L+ in recoverable revenue from abandoned checkout sessions.
As a Product Management Intern at AICTE NEAT 5.0, I gained hands-on exposure to market research, user needs analysis, and feature prioritization. I also designed CampusConnect’s product workflow and prototype, defining product metrics and an A/B testing framework to evaluate adoption and request-resolution efficiency.
