I created a new database here. I applied functions, ddl, dml, orderby, groupby ,joins,user defined function,stored procedure,trigger themes on the database I created.
This project analyzes retail sales data to identify trends, optimize inventory, and enhance customer engagement. Using SQL, we transform raw data into actionable insights, focusing on sales trends, inventory optimization, and customer segmentation for targeted marketing.
Covid 19 Data Exploration & Cleaning using SQL.
120 years of Olympic history: athletes and results from basic biodata on athletes and medal results from Athens 1896 to Rio 2016.
My data analytics portfolio scripts in SQL, R, and Python which focuses on data cleaning, data visualization, data analysis, and insight reporting
For Task 3 of my internship, I queried an e-commerce sales database using SQL Server Management Studio. I practiced SELECT, WHERE, ORDER BY, and GROUP BY statements alongside aggregation functions — COUNT, SUM, and AVG — to extract and summarize meaningful insights from the dataset.
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