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pareto-analysis

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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

  • Updated Mar 26, 2026
  • Jupyter Notebook

Analyzing Fater company's diaper market potential and enhancing revenue estimation for Naples stores: A Socio-Demographic, Territorial, and Points of Interest Perspective

  • Updated Mar 31, 2025
  • Python

This project delivers an end-to-end procurement spend and performance analysis dashboard built in Power BI to support data-driven decision-making for finance, procurement, and senior leadership teams. The dashboard integrates budget and order data to provide a single, reliable view of spend performance and supplier risk.

  • Updated Jul 10, 2026

A comprehensive SQL analytics project solving real-world e-commerce business problems. Covers advanced concepts like cohort analysis, Pareto (80/20) revenue distribution, anomaly detection, and inventory optimization using SQL (CTEs, window functions, subqueries). Focused on deriving actionable business insights from structured datasets.

  • Updated Apr 27, 2026

End-to-End data analytics project diagnosing logistics bottlenecks, delivery delays, and customer experience friction in the Brazilian E-Commerce sector using Python, Pandas, and Plotly.

  • Updated Jul 27, 2026
  • Jupyter Notebook

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