Aspiring Data Analyst building practical projects in SQL, Python, Pandas, and Data Visualization.

Designed and structured relational database tables using SQL.
Focused on defining primary keys, relationships, and proper data organization.
Ensured efficient data storage and optimized querying structures.

Explored and analyzed datasets using SQL queries. Applied filtering, aggregations, joins, and grouping to extract insights. Transformed raw data into meaningful information through structured queries. Highlights the ability to perform analytical tasks directly in SQL.

Analyzed datasets using Python and the Pandas library. Performed data cleaning and exploratory data analysis. Used basic visualizations to identify patterns and trends in the data. Demonstrates practical data analysis workflows using Python tools.

New data analysis projects will be added soon. This section will showcase additional work developed during my data analyst training. Future projects will include advanced analysis and data visualization techniques.