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Competencies
Demonstrated experience with Product Vision & Roadmap Ownership.
Demonstrated experience with Prioritization Frameworks (RICE, MoSCoW, Kano).
Demonstrated experience with Go-to-Market Strategy.
Demonstrated experience with Voice of Customer & User Research.
Demonstrated experience with Competitive Analysis.
Education
Summary
Professional profile
Experience
Product Manager
Own requirements definition for healthcare platform features, writing user stories and acceptance criteria that align engineering delivery with business and member needs.. Drive product decisions using SQL-based analysis of claims processing, member engagement, and feature adoption data, directly shaping roadmap priorities.. Define and monitor product KPIs through Tableau/Power BI dashboards, giving leadership real-time visibility into performance against goals.. Lead cross-functional collaboration with engineering, QA, and compliance during Agile ceremonies, owning backlog prioritization and sprint scope.. Partner with stakeholders on root-cause analysis of production issues, driving faster resolution and measurable improvements in product quality.
Product Analyst
Owned the end-to-end product lifecycle for digital lending products, including product discovery, requirements gathering, roadmap planning, feature prioritization, launch coordination, and post-launch performance analysis, partnering closely with product, engineering, UX, credit, risk, and business teams.. Analyzed customer, transaction, and portfolio data using SQL and advanced Excel to identify customer segmentation, behavioral trends, cross-sell opportunities, and product adoption patterns, contributing to a 25% improvement in targeted customer engagement across digital lending initiatives.. Translated business and customer requirements into detailed product requirements documents, user stories, functional specifications, and acceptance criteria, while coordinating UAT and defect resolution to improve release readiness and reduce feature-related production issues by 20%.. Developed and maintained product KPI dashboards and portfolio performance reports using SQL, Excel, Power BI, and data visualization techniques, tracking acquisition, conversion, activation, retention, portfolio quality, and business performance metrics while reducing manual reporting effort by 30%.. Partnered with credit, compliance, risk, technology, and operations teams to incorporate regulatory requirements, credit policies, risk controls, and business rules into product design and enhancement initiatives, improving process adherence and reducing operational exceptions by 15.
Business Analyst
Gathered, analyzed, and documented business requirements, BRDs, functional requirements, user stories, acceptance criteria, and business rules for MSME lending products, partnering with Product Owners, credit, operations, and technology teams within an Agile/Scrum framework, improving requirements clarity by 20%.. Collaborated with Product Owners, Scrum Masters, developers, QA, and cross-functional stakeholders during backlog refinement, sprint planning, daily stand-ups, sprint reviews, and retrospectives, prioritizing requirements and translating business needs into actionable development tasks, supporting 20% faster sprint delivery.. Performed SQL and Excel-based data analysis, gap analysis, root-cause analysis, and process mapping across loan origination and credit workflows, identifying bottlenecks and recommending process improvements that reduced loan processing turnaround time by 25%.. Led UAT and Agile release validation by creating test scenarios, acceptance criteria, test cases, and defect documentation, coordinating with QA and development teams through Jira to track defects, validate fixes, and ensure sprint deliverables met business and compliance requirements, reducing post-release issues by 20%.. Developed KPI dashboards, MIS reports, and Agile delivery metrics to monitor loan applications, approval rates, disbursements, portfolio quality, operational efficiency, SLA performance, and sprint progress, reducing manual reporting effort by 30% and supporting data-driven stakeholder decisions.