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Financial analyst

Considering positions: Financial analyst, Data analyst, Business analyst, System analyst, Аналітик ринку, Аналітик баз даних, Маркетинг-аналітик, Бухгалтер, Аудитор, Аналітик продаж
Age: 19 years
City: Kyiv
Considering positions:
Financial analyst, Data analyst, Business analyst, System analyst, Аналітик ринку, Аналітик баз даних, Маркетинг-аналітик, Бухгалтер, Аудитор, Аналітик продаж
Age:
19 years
City:
Kyiv

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BAZYLIEVA
TATIANA
JUNIOR DATA ANALYST

ABOUT ME
I am a third-year Statistics student with a solid academic background and
a deep interest in data analysis and database systems. During my studies,
I’ve worked extensively with Python, SQL, and R - building data-driven
projects, solving financial problems, and analyzing real-world datasets.
I’ve created interactive dashboards and reports that translate complex
data into actionable insights.
CONTACT INFO I am confident working with tools such as PyCharm, DataGrip, and
RStudio, and I thrive when turning data into clear, structured analyses. My
Phone : education has given me a strong foundation in statistical methods, which I
[open contact info](look above in the "contact info" section) combine with technical skills to solve practical business problems.
I am eager to apply and expand my knowledge in a real-world environment,
E-mail : contribute to a data-driven team, and continuously grow as an analyst. I
[open contact info](look above in the "contact info" section) learn quickly, adapt easily, and am motivated to take on new challenges
Telegram : with curiosity and dedication.
https://t.me/Bazyleva_tanya
EDUCATION
Bachelor of Statistics
Taras Shevchenko National University of Kyiv Faculty of Mechanics
SKILLS and Mathematics
2023 – present
Python
Jupyter COURSES
Аналітика в продуктовому IT
SQL
Links on the certificate
Tableau
Excel WORK EXPERIENCE
QUARKS(COURSES)
RStudio
Solved real-world business cases using data-driven approaches
Git
Built dashboards and visual reports in Tableau
HTML
Wrote and optimized SQL queries in DataGrip
Jira
Performed data analysis and cleaning in Jupyter Notebook using
Python
LANGUAGE Gained hands-on experience with ETL pipelines, cohort analysis,

English B1 retention metrics, ARPU, and payment analytics

Ukrainian C2 Delivered presentations with actionable insights based on analytical
findings
2025 (3.5 months)

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