I'm Pranav A. Singh

Analyzed merchant trust gaps in Razorpay by studying issues around pricing opacity, settlement delays, and unclear support communication. Benchmarked Razorpay against Wise’s transparency model to propose product and process improvements focused on fee visibility, settlement tracking, and trust-driven merchant experience.

Designed an AI-assisted browser extension to help engineering graduates in India apply to software roles faster by reducing repetitive form-filling and improving application efficiency. Focused on narrowing user scope, prioritizing measurable impact, and designing an MVP around real job application behavior.

Conducted user research with 35 PhonePe users across India to understand expense tracking behavior, personalization needs, and adoption readiness. Identified strong demand for custom tags, category-level budgeting, and shareable spend reports to improve engagement and make expense tracking more user-driven

Benchmarked leading UPI apps to evaluate how transaction history, filtering, and categorisation are handled across major fintech platforms. Identified gaps in personal tagging, transaction discoverability, and spending insights to propose a smarter, user-defined transaction categorisation experience for digital payments.

Explored how MoEngage uses behavioral signals, offer scoring, and channel orchestration to deliver personalized user engagement at scale. Analyzed how prioritization models, notification fatigue controls, and dynamic personalization frameworks improve relevance, reduce user fatigue, and drive smarter customer engagement.