Madhusmita Rout

Senior/Lead QA Analyst & Scrum Master with 18+ years delivering high-quality enterprise solutions across Retail, Supply Chain, Transportation, POS, Healthcare, Insurance, and GIS. Proven track record in driving Agile/Scrum delivery, strengthening requirement quality, and leading end-to-end QA strategies. Expert in automation (Selenium, UiPath), AI-assisted testing, regression management, and E2E workflow validation.

Skilled in building scalable QA frameworks, improving testing standards, and aligning cross-functional teams for release-ready delivery. Strong in defect triage, RCA, CI/CD validation, and quality governance. Effective mentor and team leader, accelerating automation adoption and continuous improvement across distributed teams.

Lead Software Quality Analyst - UPS - NJ

(2021-09 - 2026-07)

Project 1: REAP (Retail Application) Overall, REAP provides E2E visibility and control of all package movements within the Access Point, ensuring accurate tracking, efficient operations, and seamless customer service.

• Improved requirement clarity and reduced rework using AI-assisted gap analysis and acceptance-criteria refinement.
• Boosted overall product quality by elevating QA standards and strengthening process consistency across releases.
• Increased test coverage and reliability through end-to-end strategies across functional, integration, regression, UAT, and mobile workflows.
• Accelerated delivery cycles by building automation frameworks (Playwright, Selenium, UiPath) and applying AI-driven test generation.
• Enhanced API stability with automated Postman collections and contract validation.
• Reduced defect leakage by leading defect triage, RCA, and prioritization across multiple releases.
• Improved release accuracy and transparency through complete RTM coverage and detailed test-summary reporting.
• Strengthened cross-team collaboration by coordinating offshore QA teams and ensuring smooth release execution.
• Increased system reliability through extensive E2E validation across APA/RMS retail workflows.
• Advanced team capability by mentoring members on automation best practices and AI-powered testing.
• Drove continuous improvement by implementing intelligent automation and AI-based optimizations in QA processes.

Sr. Software QA Analyst & Scrum Master - UPS - NJ

(2020-07 - 2021-08)

Project 2: RNOM/RMS/REAP RMS is the backend data management system that stores, processes, and maintains all operational data for the Retail Access Point application. It acts as the core data engine behind REAP and RNOM, ensuring accurate storage of package information, user details, device records, Access Point configurations, and transaction logs. RMS provides reliable data services, supports API integrations, and ensures seamless synchronization between front end applications and backend workflows.

It enables secure, scalable, and consistent data management across the entire Retail ecosystem.

• Strengthened requirement quality and reduced rework by validating user stories and acceptance criteria with PO/Dev teams.
• Improved test coverage and delivery speed by designing end-to-end test strategies across web, mobile, POS, and retail workflows.
• Accelerated releases by building automation frameworks using Selenium, Playwright, UiPath, and AI-assisted test generation.
• Reduced manual effort through intelligent automation of repetitive QA workflows and Android device testing.
• Ensured complete requirement validation through RTM and comprehensive regression suites.
• Improved product stability by leading defect triage, RCA, and CI/CD validation across multiple releases.
• Enhanced API reliability through automated Postman collections and contract validation.
• Strengthened cross-team collaboration by supporting Agile ceremonies and coordinating offshore QA teams.
• Delivered high-quality releases with detailed test summary reports, release readiness documentation, and QA sign-off.
• Supported POS partner onboarding through system validation, process documentation, and RACI ownership.

Software QA Analyst - UPS - NJ

(2014-02 - 2020-06)

Project 3: C-Air, SPSF, SHARP C-Air, SPSF, and SHARP are smart warehouse and package-tracking applications that use radar and smart-scan technologies to automatically detect, track, and validate package movement inside UPS facilities and delivery trucks. These systems improve real-time visibility, reduce manual scanning, and enhance overall operational accuracy and efficiency across warehouse and transportation workflows.

• Improved package-tracking accuracy and operational efficiency by validating smart-scan, radar, and smart-glove workflows across warehouse and truck environments.
• Strengthened product quality by designing end-to-end test strategies and ensuring full requirement coverage through RTM.
• Accelerated release cycles by building automation frameworks in UFT and Selenium, enhancing flexibility through parameterization and checkpoints.
• Reduced defect leakage by leading defect triage, root-cause analysis, and coordinating fixes across onsite and offshore teams.
• Enhanced system reliability through comprehensive functional, regression, security, cross-browser, and mobile testing.
• Delivered stable enterprise releases with detailed closure reports and consistent communication with stakeholders.

Software QA Analyst - Liquid Interactive - PA

(2013-06 - 2013-08)

Project: Greenwood Donor Greenwood Donor is a web-based platform that allows users to schedule doorstep pickups for donated items such as clothing, food, shoes, toys, and books. The system streamlines donation scheduling, pickup coordination, item sorting, and distribution, enabling efficient operations and timely support for partner organizations and communities in need.

• Improved donor experience by enhancing the website with new scheduling and data-access features.
• Strengthened product quality by designing test plans and executing end-to-end validation across web and mobile.
• Increased test coverage and reliability through well-structured test cases, regression suites, and cross-browser/security testing.
• Reduced defects and improved release stability by integrating QTP automation, performing negative testing, and validating fixes in QC.
• Boosted team efficiency by creating qualitative QA metrics and streamlining testing operations under Agile delivery.
• Enhanced collaboration by working closely with clients, PMs, developers, and QA teams to ensure requirement clarity and smooth releases.

Software QA Analyst - Multiple MNCs - India

(2007-01 - 2012-08)

• Improved product quality across multiple domains by delivering end-to-end testing that significantly reduced defects before release.
• Strengthened requirement clarity and test coverage by designing high-impact test scenarios aligned with complex business workflows.
• Enhanced system reliability through thorough functional, regression, integration, and cross-browser testing for multi-module enterprise applications.
• Accelerated release readiness by efficiently identifying, tracking, and validating defects using industry-standard QA tools.
• Boosted team collaboration and delivery speed by partnering closely with developers, BAs, and PMs to drive continuous quality improvement.

Master's Computer Applications (MCA) - Indira Gandhi National Open University (IGNOU), India

M.Ed., Master of Education (M.Ed.) - Utkal University

Master of Arts (English Literature) - Utkal University