Іванна

CHEPARA IVANNA
Data Analyst
[відкрити контакти](див. вище в блоці «контактна інформація») [відкрити контакти](див. вище в блоці «контактна інформація») Ivano-Frankivsk, Ukraine

Linkedin Telegram
ABOUT ME
Junior Data Analyst with hands-on experience in data analysis and strong analytical thinking for solving business challenges.
Aspiring Junior Data Analyst with skills in SQL, Python (Pandas, NumPy), Excel, and Power BI. Experienced in data analysis, data
visualization, exploratory data analysis (EDA), and A/B testing. Seeking a Junior Data Analyst position to analyze product and
marketing data, identify factors influencing user engagement and conversions, and support data-driven business decisions.
HARD SKILLS
• SQL - data querying, joins, aggregations
• Python - data analysis and automation
• Business Metrics - conversion rate, ARPU, LTV, retention, churn analysis
• Data Cleaning & Validation - data quality checks, preprocessing, handling missing values
• Data Storytelling - turning insights into clear business narratives
• Statistics - descriptive statistics, hypothesis testing
• A/B Testing - experiment design and result analysis
• Data Visualization - clear and actionable charts
TOOLS
• Excel / Google Sheets
• Power BI, Tableau, Looker Studio
• BigQuery
• Jupyter Notebook
• Pandas, NumPy
• Matplotlib, Seaborn
SOFT SKILLS
Willingness to learn and develop
Organization
Adaptability
Teamwork
PROJECT EXPERIENCE
Streaming Services Analytics
Technologies: Google Sheets, SQL, Pivot Tables, Charts, Dashboards
Description & Idea:The project focused on analyzing streaming data to understand user preferences, popular movie genres, and
viewing patterns by country.
Tasks: Cleaned and prepared data for analysis. Analyzed genres, subscription types, and viewing patterns by country. Created
pivot tables and charts. Performed SQL queries. Built a dashboard to visualize insights
Result:Delivered an interactive dashboard and visual reports showing user behavior, popular genres, and subscription trends,
demonstrating skills in data analysis and visualization.
Global Developer Trends & Compensation Analysis
Technologies: Python, Pandas, Jupyter / Colab, Tableau / Looker Studio
Description: Analysis of Stack Overflow Developer Survey 2025(49,000 respondents)
Idea: Identify trends in technologies, learning paths, and developer compensation
Tasks: Examined Python usage, learning methods, country-level mean/median salaries, education of top 5 earners, and industries
of high-paid remote workers
Outcome: Revealed global Python trends, salary differences by country, and leading industries among high-income remote
developers via tables and BI dashboards
EDUCATION
It school "GOit"
Data Analyst
2026
Vasyl Stefanyk Precarpathian National
University — Marketing
2023 - Present
LANGUAGES
Ukrainian - Native
English - Beginner