SQL Projects
This page presents a personal project developed using SQL. This project demonstrates the effective use of SQL for data analysis and insight generation, highlighting the process of efficiently cleaning and transforming complex datasets.
Spotify Streaming Analysis
This project analyzes music streaming data to uncover key insights about artist performance, platform differences, and consumer preferences. By examining top artists, single albums, and the impact of official music videos, the analysis provides strategic recommendations for optimizing content and marketing approaches across platforms. These findings aim to guide the development of data-driven strategies in the evolving music industry.
Library Management
This project develops a library management system that tracks book circulation, branch performance, and member interactions. It includes creating a comprehensive database schema, analyzing key metrics, and providing insights to optimize resource allocation and enhance member engagement. Through this system, we aim to improve library operations and foster a more engaged community.
Netflix Content Analysis
This project analyzes retail sales data to uncover insights into customer demographics, sales trends, and high-value transactions. It identifies patterns in categories like Clothing and Beauty for better demand forecasting and inventory management. Additionally, insights into premium purchases inform targeted marketing strategies to enhance customer loyalty. Overall, these findings support strategic decisions to improve retail operations and customer satisfaction.
This project analyzes retail sales data to uncover insights into customer demographics, sales trends, and high-value transactions. It identifies patterns in categories like Clothing and Beauty for better demand forecasting and inventory management. Additionally, insights into premium purchases inform targeted marketing strategies to enhance customer loyalty. Overall, these findings support strategic decisions to improve retail operations and customer satisfaction.
Netflix Content Analysis
: Strategies for Growth and Engagement
This project analyzes Netflix's movies and TV shows dataset using SQL to extract insights on content distribution, ratings, and trends. It identifies the average time taken for movies and TV shows to be added, highlights the prevalence of violent content, and explores popular genres. The findings aim to inform content strategy and enhance viewer engagement by focusing on family-friendly options and leveraging long-running series
Retail Sales Analysis
This project analyzes retail sales data to uncover insights into customer demographics, sales trends, and high-value transactions. It identifies patterns in categories like Clothing and Beauty for better demand forecasting and inventory management. Additionally, insights into premium purchases inform targeted marketing strategies to enhance customer loyalty. Overall, these findings support strategic decisions to improve retail operations and customer satisfaction.
Cricket Score Report
This SQL query is designed to extract and structure data in the exact format required by the web development team, ensuring seamless integration and efficient workflow between database management and front-end development. It prepares the data for dynamic presentation while meeting both technical and user expectations.