1.Performed in-depth SQL queries and Python scripts to extract and preprocess sales data from Mandalay, Yangon, and Naypyitaw branches, enhancing data quality.
2.Identified key sales trends and customer segments, boosting insights accuracy by 25% through analysis of product performance and regional sales patterns.
3.Established visualizations in Matplotlib and Seaborn to illustrate sales performance metrics, improving report clarity and stakeholder understanding.
4.Delivered actionable recommendations based on data analysis, resulting in a projected 15% increase in sales performance across all branches.
https://github.com/RaviKanthMutyam/Amazon_Sales_Analysis_Project_Using_SQL_And_Python