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Customer behavior analysis and churn prediction (analytics)
Used varios data sources on big query (pricing, reviews, transactions, ...) to get the CLV, the reasons behind customer insatisfaction and churn for a big e-commerce actor.
Env & tools: GCP, big query, python, seaborn (viz)
Used varios data sources on big query (pricing, reviews, transactions, ...) to understand the reasons behind customer insatisfaction and churn for a big e-commerce actor.
Compute various KPIs on customers segments (LTV, spending preferences, ...)
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