SQL (Data Science and Analysis) Project

This SQL-based portfolio showcases a range of projects demonstrating expertise in data extraction, cleaning, analysis, and deriving actionable business insights. With a strong focus on solving real-world problems, the projects highlight skills in warehouse optimization, data validation, and advanced SQL techniques such as subqueries, joins, and aggregate functions. Emphasizing data quality, performance optimization, and relational database management, these projects ensure efficient and scalable query structures. Each project is professionally documented with clear objectives, methodologies, and actionable insights that drive strategic decision-making. This portfolio reflects proficiency in SQL, attention to detail, and the ability to transform raw data into impactful business solutions, showcasing capabilities in addressing diverse business challenges and delivering meaningful results.