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thenazar9/README.md

Nazar Ponomarenko - Data Analyst

Welcome to my Data World 📊

PRs Welcome

LinkedIn GitHub Telegram Gmail Tableau Public

I'm Nazar, a Junior Data Analyst with hands-on experience in the complete data analysis lifecycle — from data collection and cleaning to insightful visualizations and actionable recommendations.

🔎 I'm passionate about understanding how data shapes decision-making and enjoy digging into business problems to uncover trends, patterns, and growth opportunities.

🚀 What I do:

  • Analyze large-scale e-commerce datasets to evaluate sales dynamics, user behavior, and marketing campaign effectiveness
  • Conduct A/B testing, build test plans, and perform statistical analysis using Python and SQL to validate hypotheses and support decision-making
  • Design and publish interactive dashboards in Tableau and Looker Studio, transforming complex data into clear business insights for stakeholders
  • Write and optimize efficient SQL queries in Google BigQuery for deep-dive analysis and data transformation across multiple tables and sources
  • Deliver well-documented analytical projects with structured insights to contribute to strategic planning and performance optimization

💻 Tech Stack:

Python Pandas NumPy Matplotlib Seaborn

SQL Google BigQuery MySQL

Tableau Looker Studio

Jupyter Google Sheets Excel

Git

📈 I'm open to:

  • Junior/Entry-level Data Analyst roles
  • Internships and freelance analytical projects
  • Opportunities to collaborate on open-source or real-world data initiatives

Pinned Loading

  1. ab-testing-statistical-analysis-python-tableau ab-testing-statistical-analysis-python-tableau Public

    Statistical analysis and visualization of A/B test results to evaluate key metrics. Data aggregated via SQL in BigQuery, significance tested in Python, results shown in an interactive Tableau dashb…

    Jupyter Notebook

  2. ecommerce-sales-analysis ecommerce-sales-analysis Public

    E-commerce sales data was analyzed using Python, SQL, and Tableau. The project covers sales trends, product performance, user behavior, and statistical tests. Data was extracted with SQL, processed…

    Jupyter Notebook

  3. global-sales-eda global-sales-eda Public

    Exploratory data analysis of global online and offline sales to uncover patterns, optimize performance, and support data-driven decisions.

    Jupyter Notebook

  4. retail-sales-analysis-abc-google-sheets retail-sales-analysis-abc-google-sheets Public

    Retail sales analysis with ABC classification in Google Sheets: data cleaning, key metrics calculation, visualization, and business insights.

  5. user-behavior-email-campaign-analysis-sql user-behavior-email-campaign-analysis-sql Public

    Analysis of user behavior and email campaign performance using BigQuery and Looker Studio, focusing on account creation trends, email engagement, and user segmentation.

  6. ab-testing-experiments ab-testing-experiments Public

    A/B testing reports with statistical analysis and Tableau dashboard for e-commerce optimization.