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AlwaysEconomist/README.md

Hi there 👋

  • I am a Data Analyst and Power BI Developer with a focus on Marketing and Finance. Proficient in Python, SQL, Power BI, and Excel, I deliver actionable, high-impact data solutions that drive informed decision-making.

  • 🔭 Key Projects at NeedPam, a marketplace:

    • Developed RFM Customer Segmentation Model in Python, cutting customer churn that enhance LTV by 25% with targeted retention plans.
    • Leveraged Python and A/B testing techniques to design, analyze, and optimize marketing campaigns, delivering evidence-based insights to maximize engagement and conversion rates by 37%.
    • Built E-commerce Sales Trends Dashboard in Power BI with real-time KPIs, increasing reporting accuracy by 90% and reducing shipping costs by 34%.
    • Performed detailed analysis of product performance and inventory management that cut stockouts and overstock by 48% and boosted ROI by 60%.
    • Create, manage, and distribute professional spreadsheets for a variety of specialized purposes including Financial Modeling and Cohort Retention Analysis.

  • 📫 Contact me at phabriceloiseau@gmail.com for collaboration opportunities.

  • CERTIFICATIONS

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  1. Enhance-Customer-Lifetime-Value-With-RFM-Analysis Enhance-Customer-Lifetime-Value-With-RFM-Analysis Public

    Leverage Python to perform a Recency, Frequency, and Monetary (RFM) customer segmentation analysis for a retail store, enabling targeted strategies to significantly enhance customer retention rates.

    Python 1

  2. Conversion-Rate-Analysis Conversion-Rate-Analysis Public

    Harness Python and A/B testing techniques to design, analyze, and optimize marketing campaigns, delivering evidence-based insights to maximize engagement and conversion rates.

  3. Christmas-Retail-Sales-and-Marketing-Analysis Christmas-Retail-Sales-and-Marketing-Analysis Public

    Uncover insights that help improve holiday campaign performance, customer experience and operational effiency in Power BI.