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E-commerce sales analysis using SQL and Python to identify business trends and customer insights.
The project combines SQL-based analysis with Python to explore sales performance, revenue trends, product performance, and customer-related patterns.
I used SQL to query and aggregate the data and Python to further manipulate, analyze, and visualize the results.
The analysis demonstrates practical experience in SQL querying, data manipulation, exploratory data analysis, data interpretation, and business-focused reporting.
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Analyzed e-commerce sales data to identify sales trends, product performance, customer behavior, and key business insights. Cleaned and prepared the dataset, performed exploratory data analysis, and created visualizations to communicate findings clearly.
Tools: Python, Pandas, NumPy, Matplotlib & Seaborn
Project type: Personal portfolio project, not a client project.
