E-Commerce Data Analysis: Solving a 96% Customer Churn Crisis
Zeeshan Akram
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Posted Mar 12, 2026
Analyzed 113k Olist orders using Python, SQL, and Power BI. Found 96.9% churn due to slow northern deliveries. Proposed logistics fixes and retention discounts.
