Built a SaaS analytics project using SQL and Python where I reconstructed customer lifecycle from snapshot data and analyzed key metrics like MRR, churn, cohort retention, ARPU, and LTV. I found that revenue growth was driven by customer acquisition rather than pricing, as ARPU declined over time while MRR increased

Sales performance and growth analysis for a retail chain across 5 stores using PostgreSQL revenue trends, margin by category, customer LTV, and store classification.

Data-driven inventory optimization for a seafood wholesaler — customer segmentation, LTV analysis, and supply-constrained allocation simulation

Business intelligence project focused on marketing spend optimization for Showz. Analyzed LTV, CAC, and ROMI across multiple acquisition channels and devices to identify million-dollar inefficiencies and provide data-driven investment recommendations.