Real-World SQL. Real Business Impact.
This section showcases how I use SQL to solve real business problems. From query design and window functions to predictive analysis and OLAP, these repositories represent the technical backbone behind my KPI frameworks, churn models, and operational insights.
Each project reflects my transition from hands-on SQL learner to confident, applied SQL problem solver. You won’t find toy problems here – only real-world casework grounded in business context, with structured logic and end-to-end reasoning.
🔢 Window functions, CTEs, subqueries and joins applied to real data challenges
⚖️ Analytical reasoning and performance optimization with PostgreSQL
🥇 Predictive queries and exploratory analytics with clear business outcomes
📊 Query-based decision support for churn, retention, segmentation and pricing
🌐 Scalable logic and repo-ready documentation for stakeholder visibility
➤ Curious how raw data turns into insights? Dive into My GitHub Data Projects →
➤ Want to see the tools and certifications behind these cases? Visit Certifications →
➤ Curious how I apply SQL hands-on in real data scenarios? See Data Projects →