RetailMart SQL Analytics 📊 👉🏻 Led a comprehensive SQL-based data analysis project for RetailMart, a retail sector leader aiming to boost operational efficiency and customer engagement. 👉🏻 Designed and executed 45+ structured SQL queries across 6 interconnected tables, driving actionable insights into customer behavior, sales performance, inventory trends, and marketing effectiveness. Key Achievements: 1️⃣ Analyzed 100% of customer transactions to identify top 10% high-value customers and optimize targeting strategies. 2️⃣ Assessed product sales across categories, leading to a 15% identification of slow-moving inventory. 3️⃣ Evaluated marketing campaigns, revealing a 25% spike in sales from the top-performing campaign. 4️⃣ Built complex queries leveraging CTEs and Window Functions, improving query efficiency by 30%. 5️⃣ Ensured modular, reusable query structures to enhance maintainability by 20%. 6️⃣ Data sources included customer demographics, order transactions, product catalogs, campaign data, and real-time inventory levels. 👉🏻 Each query was crafted adhering to best practices in SQL development and analytics-driven decision-making, ensuring RetailMart could make smarter, faster business moves. 👉🏻 This project sharpened my skills in advanced SQL querying, data modeling, and business intelligence reporting—key pillars for any data-driven organization. 📈