Hi! I'm a Data Analyst with 2.5 years of experience in SQL, Python, Power BI, Snowflake and cloud platforms (AWS/Azure).
This portfolio contains real-world data analysis projects where I explore datasets and extract actionable business insights.
Folder: project1-superstore
Tools: Python, Pandas, Matplotlib, Seaborn
Dataset: US Superstore retail data (9,994 records)
Key Findings:
- Tables, Bookcases and Supplies are loss-making sub-categories
- West region is most profitable, Central is least
- Sales spike in Q4 — strong seasonal trend
- Discounts above 40% consistently cause losses
Folder: project2-uk-ecommerce
Tools: Python, Pandas, SQL (SQLite), Power BI
Dataset: Real UK online retail data (541,909 records)
Key Findings:
- UK generates highest total revenue
- November is peak sales month — Christmas season
- Top customer generated £280,206 in revenue
- Netherlands has highest average order value
- Paper Craft Little Birdie is best selling product
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| Category | Tools |
|---|---|
| Languages | Python, SQL |
| Libraries | Pandas, Matplotlib, Seaborn |
| BI Tools | Power BI, Tableau |
| Cloud | AWS, Azure, Snowflake |
| Database | SQLite |