Lakshmi Prasanthi K

Leverage a technical stack (AWS, Azure, Snowflake) to manage the system and utilize SQL/Power BI for high-level, data-informed decision-making. Direct the technical setup of 40+ card programs, managing API configurations, Postman endpoint testing, and CRM/CMS platform integrations. Spearhead end-to-end validation across Sandbox and Production, ensuring 100% application readiness, stability, and zero-defect deployments. Enforce strict adherence to Regulatory (RBI) guidelines and technical audits by embedding compliance checkpoints into the project lifecycle. Revitalized development workflows via Agile/Kanban in Jira and Confluence, significantly boosting team velocity and sprint predictability.

Work with a team of Analysts in Business requirement Analysis, draft functional specifications, System development needs, designing test plans, test scripts and validate system functionality. Translated complex business goals into technical specs and Jira user stories, managed the delivery of scalable software solutions. Developed and optimized a Fraud Risk Management (FRM) system, syncing technical safeguards with global industry standards. Conducted root-cause analysis to identify process gaps, implementing enhancements that increased operational efficiency. Bridged communication between Risk, Operations, and Data teams to resolve complex blockers and proactively manage technical debt. Managed client onboarding, UI design and manage API configurations. Authored comprehensive Technical SOPs and training materials, accelerating onboarding for new hires and external clients.

Partnered with design teams via Figma and Canva to ensure campaign interfaces met UX standards and technical feasibility. Supported testing and validation cycles across Sandbox and Production environments using Postman to maintain application readiness. Developed foundational documentation for system and architecture flows to support project transparency.

Developed structured, user-focused content for a learning application designed to streamline and enhance parent child interaction, ensuring clarity, engagement, and measurable improvement in learning outcomes.

Conducted comprehensive analysis of pre- and post-training questionnaire data to uncover learning trends, shifts in participant perception, and changes in confidence across individuals and teams, synthesized insights and delivered findings to senior leadership to inform program improvements.