Контактна інформація

Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/20820226/

Досвід роботи

Business Analyst

з 06.2026 по нині (6 місяців)
EduAI, Дистанційно (Освіта, наука)

- Contribute to the development of an AI-enabled product as part of a project team and participate in high-level architectural planning of AI solutions.
- Define and refine functional requirements, considering the capabilities, roles, and expected behavior of AI agents.
- Conduct discovery activities, gather requirements, and clarify stakeholder needs with the client and development team.
- Formalize business and product requirements, prepare implementation tasks, and maintain the product backlog in Jira.
- Create and maintain project documentation.
- Apply User Story Mapping to structure product functionality, user scenarios, and priorities.
- Coordinate requirements, scenarios, and unresolved questions with the team throughout planning and implementation.
- Contribute to frontend development of the web application, particularly the administrative interface.

Business Analyst

з 04.2026 по нині (8 місяців)
EPAM Systems, Дистанційно (IT)

- Prepare and refine User Stories with clear Acceptance Criteria, including Gherkin scenarios.
- Analyze complex functionality and structure it into comprehensive end-to-end user flows and scenarios.
- Work with requirements for AI-related product functionality, defining system logic, usage scenarios, limitations, and edge cases.
- Analyze and improve existing User Stories by resolving ambiguities, duplications, and requirement gaps.
- Collaborate with QA engineers to clarify requirements, validate scenarios, and identify missing cases.
- Define validation rules, input constraints, and edge cases for different system components.
- Review UI designs against requirements and identify inconsistencies between interface design and product logic.
- Propose UX improvements based on product behavior and user expectations.
- Create UI prototypes in Figma to visualize functionality and clarify requirements.
- Prepare and deliver presentations of planned and implemented functionality, explaining product logic and agreed decisions.

Освіта

Oles Honchar Dnipro National University

Faculty of Applied Mathematics and Information Technologies, Software Engineering, Дніпро
Незакінчена вища, з 2024 по 2028 (4 роки)

Degree in progress.

Додаткова освіта та сертифікати

EPAM Business Analysis Training Program

2025, 4 months (July–October)
Сертифікат

OpenAI Technical Practitioner

OpenAI; issued October 5, 2026; expires October 5, 2027; Credential ID: 196301824
Сертифікат

OpenAI Cyber Deployment Practitioner

OpenAI; issued September 28, 2026; expires September 28, 2027; Credential ID: 258684
Сертифікат

Знання і навички

• Написання user story
• Написання Use Case
• Jira
• Confluence
• Agile
• Stakeholder management
• Аналіз вимог
• MS Teams
• MS Office
• Acceptance Criteria
• Gherkin
• Управління вимогами
• Бізнес-аналіз
• Аналіз бізнес-процесів
• Моделювання бізнес-процесів
• Figma
• User Flow
• Project management
• Управління ІТ-проєктами
• REST API
• AI-інструменти
• AI prompting
• AI literacy
• Llm agents
• MVP Development
• Requirements analysis
• GitHub
• Git
• Frontend-розробка
• HTML
• CSS
• JavaScript
• OpenAI Codex
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• Embeddings
• Context Engineering
• Tool Calling
• Agentic Workflows
• AI Workflow Automation
• AI-assisted Development

Знання мов

• Українська — вільно
• Англійська — вище середнього
• Французька — середній

Додаткова інформація

AI-oriented Business Analyst with professional experience in IT and AI-enabled products, requirements engineering, business process analysis, and cross-functional collaboration.

Through my work at EPAM Systems and EduAI, I have gained experience in defining functional requirements, analyzing complex product behavior, working with AI-related functionality, and translating business needs into implementation-ready specifications. I collaborate with development teams to clarify system logic, identify requirement gaps, and support the implementation of product functionality.

Alongside my professional responsibilities, I have extensive hands-on experience with modern AI tools, particularly OpenAI Codex, LLM agents, structured prompting, and multi-step AI workflows. I use these technologies for task automation, document analysis, information processing, context management, technical task decomposition, and iterative result validation.

I have also independently explored and applied concepts related to Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), embeddings, semantic search, Context Engineering, and Tool Calling. I understand their underlying principles, capabilities, limitations, and practical applications in AI-enabled systems.

My experience includes configuring AI tools, designing structured agent instructions, organizing multi-step workflows, integrating tool-assisted execution into existing processes, and evaluating AI-generated outputs against defined requirements.

I am particularly interested in AI Automation, AI Implementation, AI Solutions, and Agent Workflow Design roles where I can combine practical AI expertise with business analysis, technical understanding, and collaboration with development teams.