Projects

Razorpay

AI-Powered Fraud Detection System : PRD

Problem: Rising fraud in India's digital payments, especially UPI, threatens merchants and consumers.

Goal: Create an AI-powered system for Razorpay to provide real-time fraud detection, risk assessment, and customizable fraud rules.

Key Features:

Real-time fraud analysis.
AI-driven risk scoring.
Predictive fraud prevention.
Customizable rules.
Fraud trend reporting.

My Role:

Product Manager - defined vision, strategy, and specifications.

WhatsApp Business

WhatsApp Business Enhancement: PRD

Problem: Disorganized group chats and limited collaboration features in WhatsApp Business hinder productivity for small businesses and startups, with 60% of users struggling with chat organization and 50% facing file management issues

Goal: Create an enhanced communication platform by integrating advanced collaboration tools and file management features to improve both customer engagement and internal team workflows.

Key Features

Threaded conversations for organized discussions
Enhanced file management with tagging and search
In-chat task management system
CRM and calendar integration
Anonymous feedback collection

My Role :

Product Manager - Worked on research and problem identification phase, developed feature prioritization using RICE framework, and created comprehensive go-to-market strategy targeting small businesses (40%) and startups (60%)

MedEazy

Startup Foundry: Winner! ABHA based Health Super App

Pitched our Idea of making a super app for health care to Startup Foundry of Thapar University, won the first price.

Problem: 80% of India's healthcare data remains fragmented and inaccessible, making it difficult for 1.4 billion Indians to access efficient healthcare services, especially in rural and underserved areas

Goal: Create a UPI-like healthcare platform that centralizes health records, provides AI-powered insights, and streamlines operations for hospitals and pharmacies to make healthcare more accessible

Key Features

ABHA-integrated prescription and medical record management
AI-powered health tracking with phone and smartwatch integration
Live inventory tracking for hospitals and pharmacies
Automated appointment scheduling and medicine delivery
ERP system for healthcare providers with patient history access

Swiggy

Product Strategy Document

Problem: Food delivery users face challenges with dietary restrictions and low engagement, with 94% seeking comprehensive nutritional information and 67% willing to share dietary preferences, leading to reduced customer retention and trust.

Goal: Create a data-driven personalization system integrating allergen alerts, gamified loyalty programs, and AI-powered recipe suggestions to enhance user experience and increase customer retention.

Key Features:

Allergen & nutrition alerts with user preference customization
Gamified loyalty program with scratch cards and rewards
AI-powered recipe suggestions integrated with Instamart
Real-time dietary preference tracking and alerts

My Role:

Data Analyst - Worked on analysis of user behaviour and dietary preferences, developed prioritization framework using RICE scoring (26.67 for allergen alerts), and created implementation roadmap targeting 94% of users seeking nutritional information.