Abdul Khader

Business Analyst at Veltris

Based in Hyderabad, India

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Seniority

Staff

Department

General Business & Management

Location

Hyderabad

Industry

IT Services and IT Consulting

Company size

697

Contact information

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Email

1 credit

a•••••••@veltris.com

Phone

5 credits

+91 ••• •••• ••••

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Background

About Abdul Khader

I hold a Bachelor of Technology in Computer Science & Engineering and bring a strong foundation in technology, business analysis, and problem-solving. Over the years, I have developed a deep interest in bridging business needs with scalable technology solutions, with a growing focus on AI-augmented business analysis. My academic background, combined with continuous learning in Agile practices and generative AI tools, has helped me build a structured and analytical approach to requirements engineering, process improvement, and stakeholder collaboration. With 10+ years of experience across business analysis, quality assurance, and technical support, I have worked in digital product development and telecom technology environments. Currently, I work as a Business Analyst where I lead requirements elicitation, manage product backlogs, and collaborate with cross-functional teams to deliver scalable web and mobile applications. My experience includes Agile/Scrum delivery, UAT coordination, UX collaboration, and process optimization. I also leverage generative AI tools to accelerate documentation, user story creation, and stakeholder reporting. Previously, I worked as a QA Engineer and Technical Support Engineer, gaining strong expertise in testing, defect management, incident analysis, and operational support. I am now focused on growing as an AI-enabled Business Analyst, driving data-informed decision-making and business transformation initiatives. My goal is to contribute to organizations by leveraging AI-augmented requirements analysis, improving delivery efficiency, and enabling teams to build customer-centric digital solutions. I am particularly interested in roles that combine business analysis, digital transformation, and emerging AI technologies.

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