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ecommerce-analytics-project

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AI-powered e-commerce lead generation, intent scoring, recommendation strategy, LLM-inspired seller action, and A/B testing analytics project using Python, SQL, DuckDB, scikit-learn, and Tableau.

  • Updated Aug 25, 2026
  • Jupyter Notebook

End-to-end analytics pipeline using Python, PostgreSQL, and Power BI on 1.09M+ Sephora reviews ($192.5M revenue proxy) to model brand concentration, pricing tiers, and $6.27M in quality risk.

  • Updated Sep 25, 2026
  • Jupyter Notebook

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