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  1. DATA_MANIPULATION_IN_SQL DATA_MANIPULATION_IN_SQL Public

    Advanced SQL analytics on European Soccer data using CTEs, window functions, subqueries, and real-world match analysis.

    Jupyter Notebook

  2. SQL-Factors_that_Fuel_Student_Performance SQL-Factors_that_Fuel_Student_Performance Public

    Data analysis project using PostgreSQL with advanced SQL techniques such as window functions, grouping, and feature engineering to derive insights from student performance data.

    Jupyter Notebook

  3. ETL-Pipeline_New ETL-Pipeline_New Public

    Modular ETL pipeline for processing energy data using Python and Pandas, with separated extract, transform, and load components

    Jupyter Notebook

  4. ETL-Pipeline ETL-Pipeline Public

    End-to-end ETL pipeline for cleaning and transforming energy datasets, simulating real-world data engineering workflows

    Jupyter Notebook

  5. Walmart_Retail_ETL_Pipeline Walmart_Retail_ETL_Pipeline Public

    Built a complete ETL pipeline to extract data from a PostgreSQL database, transform and clean it, and generate analytical insights using Python and Pandas

    Jupyter Notebook

  6. JOINING-DATA-IN-SQL JOINING-DATA-IN-SQL Public

    A comprehensive collection of SQL exercises and solutions focused on mastering data analysis using real-world datasets.

    Jupyter Notebook