Aspiring Data Analyst with a focus on business insights and data-driven decision making.
I enjoy transforming raw data into meaningful insights using SQL, Python and data visualization.
- SQL (MySQL)
- Python (pandas,numpy,matplotlib,seaborn)
- Tableau
- Data Analysis
- Business Analytics
- Data Visualization
SQL and Tableau analysis exploring revenue trends, customer contribution, and product category performance.
Key topics:
- Revenue trend analysis
- Customer revenue concentration
- Category performance
- Sales volatility
Customer segmentation analysis using RFM (Recency, Frequency, Monetary) to understand purchase patterns and customer engagement.
Key topics:
- Customer segmentation
- Purchase frequency analysis
- Repeat purchase behavior
- Customer engagement strategies
- SQL
- Python
- Tableau
- GitHub
- Advanced SQL
- Advanced Python
- Data storytelling
- Business analytics frameworks