Earthquake Azure Data Pipeline

An end-to-end automated data pipeline in Microsoft Fabric transforming earthquake data from the USGS API into actionable insights using PySpark, Data Factory, and Power BI.
An end-to-end automated data pipeline in Microsoft Fabric transforming earthquake data from the USGS API into actionable insights using PySpark, Data Factory, and Power BI.
A robust end-to-end data pipeline integrating Bsale, Shopify, and marketplace sales into a unified model for advanced sales and inventory analytics in Power BI.
Full ETL pipeline in Python and snowflake-style data model for Power BI, analyzing the global prevalence and burden of mental health disorders. Includes tooltips, bookmarks, slicers, and rich storytelling visuals.
Interactive dashboard built with Power BI to explore the most streamed songs in 2023. Insights into artist popularity, genres, and musical features.
SQL-based data cleaning, database optimization, and EDA using a LEGO dataset in PostgreSQL.
SQL-based data analysis using Transport for London (TfL) journey data. Includes public transport usage trends and modal comparisons across the city.
Interactive dashboard using HR data to analyze turnover rates, salary distribution, and gender gaps. Built with Power BI and DAX for insightful business decisions.