Cleaning data and SQL

I worked on preparing and cleaning raw data to make it ready for analysis. The process included removing duplicates, handling null values, fixing data types, and organizing the dataset for accuracy.

After cleaning, I used SQL to create queries for:

Filtering and selecting specific records

Joining multiple tables with relationships

Aggregating data to calculate totals and averages

Generating reports for business insights

This project improved the data quality and provided reliable information for decision-making