Станіслав

STANISLAV SVITLYCHNYI
Data Analyst
[відкрити контакти](див. вище в блоці «контактна інформація») | [відкрити контакти](див. вище в блоці «контактна інформація») | Burgas, Bulgaria | https://github.com/Owl39

PROFILE
Data Analyst with practical experience in SQL, Python, KPI reporting, dashboarding, and business performance
analysis. Skilled at turning raw data into actionable insights, automating recurring reports, and building analytical
models to support management decisions. Adaptable across finance, operations, product, and customer analytics,
with additional experience in ML/NLP projects and a strong ability to quickly learn new tools and business contexts.
CORE SKILLS
Analytics: KPI Reporting, Dashboarding, Data Cleaning, Financial Analysis, Operational Analysis
Technical: SQL, Python, Excel, Grafana, Git
Python/Data Science: Pandas, NumPy, scikit-learn, NLP, TF-IDF, BERT, Random Forest
WORK EXPERIENCE
Unex Bank | Mar 2025 - Present
Data Analyst, Department of Modeling and Data Analysis
- Built and optimized profitability models in SQL/Python, improving forecast accuracy by 15%.
- Automated reporting workflows, reducing manual effort by 20%.
- Designed profitability dashboards and trend analysis models for management decision-making.
Synergetica LLC | Dec 2024 - Feb 2025
Data Science Intern (NLP & ML Project)
- Designed and trained a text classification system using TF-IDF and BERT embeddings, improving accuracy by 12%
compared to baseline.
- Collaborated with senior engineers to integrate ML models into production, supporting an international client project.
Ardenta | Jun 2024 - Nov 2024
Accounting and Profitability Data Analyst
- Developed financial models for profitability assessment, increasing reporting efficiency by 25%.
- Conducted financial risk analysis, helping reduce errors in client reporting by 18%.
EDUCATION
Igor Sikorsky Kyiv Polytechnic Institute | 2021 - 2025
Bachelor's Degree in Computer Science, Institute of Applied System Analysis
Bachelor's thesis: Machine learning methods for user-driven text classification (Python, NLP)
LANGUAGES
English (B2), Polish (B2), Ukrainian (Fluent), Russian (Fluent)