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

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

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.

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