Pooja Sharma

Scaled user base from 5K to 25K retailers in under 6 months by mapping the onboarding funnel, removing manual verification steps, and reducing turnaround time by 70% enabling faster credit access and stronger partner adoption. Led automation of underwriting by integrating bureau data and rule-based decisioning, cutting loan approval time by 80% while maintaining <1% NPA on disbursements exceeding 50 Cr. Led AI automation project, pinpointing key areas: product, process, and tech. Prioritized tasks like communication and collection, using custom LLMs and generative AI for cost savings and efficiency. Optimized KYC completion by analyzing funnel drop-offs, adding instant error prompts, and deploying dynamic re-engagement notifications, resulting in a 35% uplift in successful activations. Conducted structured user research (surveys, interviews) and ran A/B experiments on app features and UI/UX flows, driving an 18% increase in daily active engagement and informing roadmap decisions. Managed and aligned a 5-member cross-functional team across product, design, and marketing by introducing OKRs and sprint planning, achieving 2x faster delivery of features and campaigns. Led end-to-end lending capabilities integration, shaping product vision and strategy with market research-driven user-centric designs. Ensured seamless API integration and conducted thorough user acceptance testing for product readiness and satisfaction.

Designed and executed go-to-market strategies for 3+ new SKUs, accelerating adoption by 15% across e-commerce and offline retail channels. Repositioned products with health-centric branding (keto-friendly, low net carbs), leading to a 25% uplift in conversions and stronger market differentiation. Collaborated with R&D, design, packaging, and supply chain teams to align product features with consumer demand, reducing launch stock-outs by 40%. Conducted consumer research and feedback analysis to identify product gaps, directly influencing packaging upgrades and roadmap priorities. Analyzed campaign and sales performance to optimize marketing spends, improving efficiency by 20% and driving 30% higher engagement.

Analyzed customer behaviour and sales patterns to identify new customer segments and product opportunities, enabling better targeting strategies. Partnered with cross-functional teams to review refund and concierge cases, providing data-backed recommendations that improved seller product selection and reduced repeat complaints. Prepared structured reports and insights for management, leading to enhanced customer satisfaction and more efficient procurement decisions. Supported customer experience optimization by identifying key friction points in online journeys and recommending solutions that improved overall service quality.