Володимир Ветеран

Volodymyr Kopchuk
BUSINESS ANALYST
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ABOUT ME •
Business Analyst with 1.5+ years of experience in eCommerce modernization and reverse-engineering of legacy
systems across fintech and education domains. I turn complex, data-intensive systems into clear, actionable
documentation and testable requirements. I actively leverage AI tools (code-analysis agents, prompt
engineering) to accelerate reverse-engineering and documentation. A background in manual QA gives me a
strong eye for edge cases, detail, and quality from the earliest stages.

WORK EXPERIENCE
EPAM Systems
Technical Business Analyst 10/2025 – Present
Client: Equifax — a global provider of credit reporting, identity theft protection and data analytics services.
Project: Reverse-engineering of the PayNet application for Equifax USIS.

• Reverse-engineered the legacy PayNet application using AI-powered tools (GitHub Copilot, Codmie AI agent),
transforming undocumented source code into clear, actionable artifacts for the delivery team and stakeholders.
• Documented 25+ API endpoints and mapped 30+ core modules and components, detailing request/response
structures, parameter mappings, and cross-layer interactions to reduce integration risks.
• Authored 60+ user stories with detailed acceptance criteria derived from legacy code analysis — all approved by the
client and taken into active development to rebuild the system.
• Produced comprehensive system documentation in Confluence, including UML and BPMN diagrams, pseudocode,
and API specifications — enabling developers to understand system logic independently and significantly reducing
recurring questions about business and technical logic.
• Designed and optimized complex AI prompts to consistently extract high-value artifacts (user stories, АС, technical
documentation), reducing manual analysis effort by ~40% and standardizing output quality across the team.
• Played a key role in advancing the project's AI adoption maturity from L1 to L2, contributing to the rollout of AI
agents, custom workflows, and adoption metrics into the team's daily process.
• Led internal knowledge-sharing sessions on prompt engineering and agent-based workflows, enabling team
members to independently produce documentation and deliver value through AI.
• Maintained continuous communication with SMEs through regular clarification sessions on legacy system logic,
validating findings and sharing results to ensure documentation accuracy.

Associate Business Analyst 04/2025 – 10/2025
Client: Pearson — a global education company providing content and teacher development solutions.
Project: eCommerce initiatives within Pearson's Marketing Cloud, spanning SAP Commerce and
BigCommerce platforms.

• Independently delivered 3 end-to-end initiatives — including SSO implementation and checkout flow and product
page improvements — from requirements gathering through release, resulting in a smoother user experience and a
simplified checkout process.
• Gathered requirements for new pages and UI components built with Adobe Experience Manager (AEM), translating
business needs into clear, implementable specifications.
• Authored 70+ user stories with clear, testable acceptance criteria, presenting them during planning and walking the
team through ACs to ensure shared understanding.
• Facilitated all Scrum ceremonies (planning, refinement) as the sole BA, driving alignment between the development
team.
• Estimated and prioritized features together with the team, tracking delivery metrics to define scope and support
release planning.
• Introduced AI tools and prompt engineering into the artifact-writing process (L1 adoption), accelerating the creation of
user stories and documentation.
• Maintained continuous communication with Product Owners, Product Managers, developers, and QA engineers to
clarify requirements, scope work, and resolve blockers — delivering all initiatives to the client's full acceptance.
 Trainee Business Analyst 02/2025 – 04/2025
Client: EPAM Systems — internal training project.
Project: XPAS — a pet adoption platform.

• Produced comprehensive BA documentation for the XPAS platform, including 20+ user stories, edge cases, use
cases, flowcharts, UML and BPMN diagrams.
• Defined clear, testable acceptance criteria aligned with business objectives and technical feasibility.
• Managed and prioritized the product backlog, running regular refinement sessions based on stakeholder and team
feedback.
• Facilitated Scrum ceremonies and collaborated with developers, QA, and PMs to resolve blockers and support
delivery.
• Participated in stakeholder meetings and discovery sessions to elicit and document requirements, building a strong
foundation in core BA practices.

Code & Cakes
Quality Assurance Engineer 04/2024 – 02/2025
Clients: AiSDR, PipeTech Hub, Beagle, Docunist, mystartist.ai — startup web and mobile applications.
Projects: startup projects.

• Performed manual QA for 5 web and mobile applications in parallel, executing smoke, sanity, regression, and re-
testing to ensure functionality and UX standards.
• Reported and tracked 700+ bugs in Jira and ClickUp, driving them through the full lifecycle from discovery to
verification and closure.
• Conducted API testing using Swagger and Postman, adding automation scripts to speed up repetitive checks and
improve testing efficiency.
• Designed and maintained detailed test cases and checklists aligned with user stories, covering positive and negative
scenarios for comprehensive coverage.
• Led bug-clarification sessions with developers, clearly explaining root causes and reproduction steps to accelerate
resolution.
• Collaborated closely with PMs, developers, and fellow QA engineers on testing and release activities, reviewing
requirements to ensure quality from the earliest stages.

SKILLS
Business Analysis: Requirements elicitation, User stories, Acceptance criteria, Backlog management, Reverse-
engineering, Data flow mapping, BA artifacts documentation
Modeling & Documentation: UML, BPMN, Flowcharts, Use cases, API documentation, Pseudocode
AI & Automation: Prompt engineering, GitHub Copilot, Codmie AI agent, AI-assisted code analysis
Tools: Jira, Confluence, Postman, Swagger, Git, GitHub, SQL, Excel, Figma, Draw.io/Lucidchart, Miro
Methodologies: Agile / Scrum
Soft Skills: Stakeholder management, Cross-cultural communication

EDUCATION
American University Kyiv (AUK) • Master’s Degree in Global Management 09/2024 – 05/2026
• Concentration: Global Entrepreneurship (Technology Entrepreneurship, Strategic Enterprise Innovation, Business
Analytics Strategy )
• Capstone Project: Analyzed internationalization strategies of Ukrainian business firms, evaluating strategic
frameworks for global market expansion and cross-border operations.

National University of State Tax Service of Ukraine • Master’s Degree in Law 09/2010 – 10/2014
• Specialized in law enforcement practices and legal support for public authorities.
• Gained in-depth knowledge in criminal law, administrative law, and legal procedures.

LANGUAGES
• English (В2) • Ukrainian (Native)