Lead Quality Analyst with 10+ years in Enterprise Finance Systems & Salesforce
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Detail-oriented Associate Business Systems Analyst and Quality Assurance Lead with over 10 years of experience in enterprise-scale finance systems. Skilled in collaborating with stakeholders to drive system enhancements and optimize business processes in global multicurrency environments. Focused on requirement analysis, data accuracy, and compliance, with a history of enhancing product quality and testing efficiency.
Bits Pilani University
Master of Science · M.Tech (Software Engineering)
August 1, 2019 – June 30, 2019
St Claret Degree College
Bachelor of Science · Bachelor of Computer Applications
August 1, 2015 – June 30, 2015
Wipro Technologies
Senior QA Analyst / Business Systems Analyst
December 1, 2022 – November 30, 2025
Vancouver, British Columbia, Canada
Wipro Technologies
Sr. Software Engineer / QA Le
January 1, 2019 – December 31, 2022
Bengaluru, Karnataka, India
Wipro Technologies
Software Engineer
June 1, 2015 – January 31, 2019
Bengaluru, Karnataka, India
Salesforce AI Associate
Salesforce
June 1, 2026 – Present
Assure Open AI for Manufacturing - L2
Wipro technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's long tenure at Wipro Technologies (10+ years) indicates loyalty and stability. Their progression from Software Engineer to Senior QA Analyst/Business Systems Analyst shows a commitment to growth and taking on increasing responsibilities. The diverse project experience within enterprise finance systems and Salesforce, coupled with certifications in Salesforce AI and Assure Open AI, suggests a forward-thinking mindset and willingness to adapt to new technologies. The awards for QA leadership and individual delivery further highlight a strong work ethic and team contribution.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, working with finance and accounting stakeholders, leading QA teams, and facilitating agile ceremonies. Their focus on defect resolution, prioritization based on business risk, and post-deployment validation indicates a proactive and responsible operational approach. The experience in global multicurrency environments suggests adaptability and a broad operational perspective.