Olesia

OLESIA YUVKO
Financial Analyst
Dedicated and ambitious finance student with a strong
desire for career growth and one year of working
experience, seeking a position to further develop skills
and contribute to a dynamic team. Through my
academic pursuits and previous roles, I have gained
theoretical and practical insights, which I am eager to
apply and expand upon in a challenging environment.

EDUCATION PROFESSIONAL EXPERIENCE
National University of Kyiv- Deep Knowledge Group | Business Analyst
Mohyla Academy
09.2022 – 07.2023
Bachelor in Finance, Banking and Key responsibilities:
Insurance (GPA: 95 out of 100)
Analytical work on collected data;
2021-2025 Prepare datasets for further analysis;
Interpret data, analyze results using analytics,
University of Bern
research methodologies, and statistical techniques;
Courses in Business
Administration Develop and implement data analyses, leverage data
collection systems and other strategies that optimize
2022-2024 statistical efficiency and quality;
Evaluate key performance indicators, provide
CONTACT ongoing reports.
Conduct SWOT analyses.
Email: [open contact info](look above in the "contact info" section)
Phone: [open contact info](look above in the "contact info" section) Deep Knowledge Analytics | Project
LinkedIn: olesiayuvko Manager Assistant
Telegram: https://t.me/lesyayuvko 05.2023-07.2023
Address: Bern, Switzerland Key responsibilities:
HR and administration.
LANGUAGES Lead teams.
Ensure compliance and manage resources.
English - advanced
AiiA | Deputy Operational Director
Ukrainian - native
05.2023-07.2023
Russian - native
Key responsibilities:
Performance monitoring and processes optimizing.
TOP SKILLS Frontend development.
Technical support.
Hard Skills
Financial modelling and reporting
Market research ACHIEVEMENTS
Excel proficiency
Data Analysis 2022 – 2023
Webdesign
Successfully defended the scientific work on
Soft Skills cryptocurrencies and NFTs.

Analytical thinking Participated in the creation and implementation
Communication of innovative projects.
Multi-tasking
Problem-solving Managed teams within the Data Science
Time management department.