Liudmyla Vynnychuk

Senior System Analyst / Business Analyst (IT)


20 years in IT: systems analysis, requirements, process modeling, and data/SQL investigations.
1000+ user stories & acceptance criteria delivered for large-scale platforms.
Remote IT services for foreign clients | Individual Entrepreneur (IE) in Georgia since March 2024

20+ Years in IT
1000+ User Stories Delivered
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About Me

I am a Senior System Analyst and Business Analyst with over 20 years of experience in IT, specializing in requirements analysis, system behavior definition, and data-driven problem solving.

I work at the intersection of business, data, and development, translating complex business needs into clear, structured, and testable system requirements. My core expertise includes requirements formalization, BPMN/UML process modeling, and SQL-based data analysis and investigations.

Throughout my career, I have worked on large-scale enterprise and government systems, including digital transformation initiatives, data-intensive platforms, and complex legacy system modernization. I have delivered 1000+ user stories and acceptance criteria, collaborating closely with product owners, developers, and stakeholders to ensure clarity, consistency, and reliable system behavior.

Core strengths include:

  • structuring ambiguous and incomplete requirements,
  • validating business logic and complex calculations,
  • identifying data inconsistencies and critical edge cases,
  • aligning system workflows with real business processes.

Currently, I provide remote IT consulting services to foreign clients as an Individual Entrepreneur (IE) registered in Georgia since March 2024.

Services

Business & System Analysis

I help companies translate complex business needs into clear, structured, and testable system requirements.

What I do:

  • Requirements elicitation and formalization (BRD, SRS, specifications)
  • User stories and acceptance criteria (including complex calculation logic)
  • BPMN / UML process modeling (as-is / to-be)
  • Validation of business rules, workflows, and edge cases

Data & SQL Analysis

I work with data-intensive systems to ensure correctness, consistency, and reliability.

What I do:

  • SQL-based data analysis and investigations
  • Validation of calculations, financial logic, and aggregations
  • Identification of data inconsistencies and root causes
  • Support for reporting and analytics logic

System Modernization & Process Improvement

I support digital transformation and legacy system modernization initiatives.

What I do:

  • Analysis of existing systems and processes
  • Alignment of system behavior with real business processes
  • Support during implementation, UAT, and production validation
  • Collaboration with product owners, developers, and stakeholders

Selected Case Studies

Real-world examples of complex systems and data-intensive platforms I worked on.

Large-Scale Investment Management Platform (Oil & Gas)

Context
Enterprise web platform for managing oil & gas investments, including tracts, wells, agreements, and cash flow.

Problem
The client was building a complex system from scratch with no existing documentation, high data dependency, and strict financial accuracy requirements.

What I did

  • Elicited and formalized business requirements from multiple stakeholders
  • Created 1000+ user stories and acceptance criteria
  • Designed data models and validated complex financial calculation logic
  • Worked closely with developers during implementation and UAT

Result

Ensured consistent and reliable financial calculations across the system

Delivered a scalable, well-structured investment management platform

Reduced ambiguity in requirements and rework during development

Government Registry System Modernization

Context
Legacy government information system handling large volumes of registry and reporting data.

Problem
The existing system was poorly documented, difficult to extend, and prone to data inconsistencies.

What I did

  • Analyzed undocumented legacy processes and databases
  • Formalized business rules and system behavior
  • Designed BPMN/UML diagrams for key workflows
  • Supported data validation and migration activities

Result

Reduced operational risks caused by unclear logic

Improved system reliability and data consistency

Enabled further system modernization

Data-Intensive Financial Reporting System

Context
Internal enterprise system with complex SQL-based reporting and financial aggregations.

Problem
Frequent discrepancies in reports due to inconsistent calculation logic and edge cases.

What I did

  • Investigated SQL queries and data pipelines
  • Identified root causes of data inconsistencies
  • Validated financial calculations and aggregation rules
  • Worked with developers to correct and stabilize reporting logic

Result

Improved auditability and transparency

Eliminated recurring reporting discrepancies

Increased trust in financial data

Education

Bachelor of Computer Science (Applied System Analysis)
National Technical University of Ukraine “Kyiv Polytechnic Institute”

Focus: system design, intelligent decision-making systems, forecasting,
and control of complex technical, economic, and financial processes.

Contact

I am open to professional inquiries and collaboration opportunities.