Contact information

You can get this candidate's contact information from https://www.work.ua/resumes/20646004/

Work experience

QA Engineer (Manual & Automation)

from 09.2024 to 09.2025 (1 year)
TJHelpers (IT)

Education

Київський національний університет імені Тараса Шевченка

Факультет інформаційних технологій, Київ
Higher, from 2022 to 2026 (4 years)

Освітня програма «Аналітика даних»

Additional education and certificates

Upper-Intermediate and Advanced English – English Prime School

2023 – 2024, 15 місяців

Data Analytics – Mate academy

2026 – present

IT Marathon 2026: AI Project Development – EPAM

2026 – present

Agentic Modernization: Intelligence Engineer Onboarding – SoftServe

2026 – present

Knowledge and skills

• Здатність до навчання
• Аналітичне мислення
• Уважність
• Організованість та структур
• SQL
• MS Excel
• Python
• Google Sheets
• Dashboards & KPI reporting
• Requirements documentation
• Business analysis
• SRS
• Writing a user story
• UML
• BPMN
• IDEF0
• DFD
• Playwright
• Selenium
• Postman
• Swagger
• Jira
• Git
• Confluence
• Scikit-learn
• QA Automation
• QA manual
• API testing tools
• Knowledge of test design techniques
• Slack

Language proficiencies

English — above average

Additional information

PROJECT EXPERIENCE
FinMonitor – Expense Analytics & ML Forecasting 03/2026 – 06/2026
Bachelor’s thesis
· GitHub: https://github.com/Sofiia-Skrypai
· Live demo: https://sofiia-skrypai.github.io/Financial-monitor/
Tools: Python, pandas, NumPy, scikit-learn, MongoDB, Node.js, React,
Recharts, Jest, GitHub Actions
Collected transactions from 3 sources – CSV/XLSX bank statements
(Monobank, PrivatBank) with format detection and validation, manual entry
and receipt OCR – into one data model.
Built a Python forecasting module (Random Forest) that aggregates
transactions into a monthly time series and predicts next-month expenses;
evaluated with R² and RMSE.
Designed an interactive dashboard (spending trends, category and member
breakdowns, budget alerts, PDF reports) and a retirement-savings model for 3
investment strategies with inflation adjustment.
Business analysis: competitor review, functional and non-functional
requirements, AS-IS / TO-BE models, UML and ER diagrams, user stories.