I am a Senior Business Analyst with 8 years of experience turning complex business needs into delivered technology solutions across banking, capital markets, and professional services. My background is centered on bridging business and engineering teams to deliver practical, high-impact outcomes.
I specialize in AI-enabled platforms, including document intelligence, semantic extraction, and human-in-the-loop reconciliation. I have worked on regulatory-critical solutions for global financial institutions, where accuracy, auditability, and adoption are essential.
My experience covers the full business analysis lifecycle, including requirements elicitation, current and future-state analysis, user stories, acceptance criteria, BRD/FRD authoring, process mapping, backlog refinement, UAT, and change management. I am comfortable working in Agile environments using Scrum and Kanban.
In recent roles, I have led initiatives that improved processing speed, increased AI extraction accuracy, and helped teams manage large regulatory backlogs. I have also supported stakeholder management, training, knowledge transfer, and go-live readiness to ensure successful delivery.
I have worked across domains such as banking, capital markets, CTRM, AML/suspicious transaction reporting, audit, and invoice-to-cash. I also bring hands-on experience with SQL, JIRA, Confluence, Appian, API-related requirements, and Microsoft Office tools.
Earlier in my career, I worked in software engineering and production support, where I strengthened SLA performance, improved knowledge management, and handled high-volume live issues. I am recognized for delivery excellence, client management, and my ability to translate business complexity into clear, actionable solutions.
Led business analysis and an 8-person team for an AI-driven trade confirmation platform for a global renewable energy trading firm. Designed human-in-the-loop reconciliation workflows, improved processing time by about 50%, increased AI extraction accuracy from 70% to 90%, authored requirements and user stories, validated data with SQL, and facilitated Scrum ceremonies and backlog refinement.
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