SivaTejaReddy Pulusu

Strategy: Personalized offers Recommendations

AI analyses Customer browsing, Purchase History, Location and Preferences. Based on that, we show customized product deals, credit and Debit card offers.

Output: Drives 33% of total revenue. Enhances customer experience by making shopping faster, easier, and more satisfying and Increases customer lifetime value by improving engagement, loyalty, and repeat purchases.

• Strategy: AI-Driven Fraud Detection

Led the product strategy and cross-functional delivery of AI-powered fraud detection features, enabling real-time risk scoring and document verification—reduced digital loan fraud by 50% and prevented ₹500+ crore in potential losses.AI reduces fraud by 50% compared to manual or rule-based systems

• Strategy: AI in Credit Card Limit Adjustment

Led the product strategy and development of AI-powered credit card limit adjustment models and Analysed customer behaviours and credit utilization in real-time. Improved customer satisfaction and reduced credit risk exposure by 30%.

• Developed full-stack web applications using MERN stack (MongoDB, Express.js, React.js, Node.js) with responsive, user-friendly designs.
• Built dynamic websites with HTML, CSS, and JavaScript, ensuring performance optimization, secure backend logic, and seamless UI/UX.