
Anjum Waheed
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Anjum Waheed
- Bis heute 4 Jahre und 8 Monate, seit Feb. 2022
Quality Assurance Team Lead
Salam Mobile
Led REST API and automation testing using Postman, Selenium, Python and Jenkins CI/CD, improving regression coverage to 80%+ and reducing production defects by 40%. Planned sprint test scope, API validation and regression, cutting manual effort by 30%. Owned test planning, defect governance and cross-functional delivery across 5+ enterprise platforms, achieving 100% on-time releases. Evaluated AI features for accuracy while ensuring SDLC/STLC governance, audit compliance and zero security non-conformances.
- 9 Jahre und 2 Monate, Dez. 2012 - Jan. 2022
Quality Assurance Expert
Intigral - Saudi Telecom Group
Led QA delivery for enterprise OTT platforms including Jawwy TV and STC TV, covering API, UI, functional, regression, and performance testing. Planned Postman API automation, Cypress UI regression, and JMeter performance testing to improve release efficiency and platform stability. Directed risk-based test strategies, TestRail test libraries, and end-to-end QA governance across critical user journeys, reducing regression effort and post-release defects while improving release quality and reliability daily.
- 4 Jahre und 2 Monate, Okt. 2008 - Nov. 2012
CRM Consultant
Telenor Pakistan
Planned and executed functional, integration, and end-to-end testing for Siebel CRM across application, database, and middleware layers, ensuring stable releases across BSS and BRM stacks. Led SQL-based data integrity validation, root-cause analysis, and defect management, preventing data inconsistencies from impacting Finance, BI, and Marketing dashboards. Collaborated with cross-functional teams to validate critical workflows, improve test coverage, resolve defects, and strengthen release quality overall
Ausbildung von Anjum Waheed
- 4 Jahre und 4 Monate, Sep. 2000 - Dez. 2004
Computer Science
Allama Iqbal Open University
“Statistics for Management”, “Data Structure”, “Digital Logic Design”, “Databases”, “Object Oriented Analysis and Design”, “Artificial Intelligence”, “Compiler Construction” and “Numerical Analysis
Sprachen
Englisch
C1 (Fließend)
Urdu
C2 (Verhandlungssicher / Muttersprachlich)
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