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Enable stakeholders with an engaging Power BI dashboard illustrating key e-commerce performance indicators and patterns. Evaluate sales data, predict forthcoming trends, and formulate knowledgeable approaches to foster business expansion.
This project predicts Customer Lifetime Value (CLV) for e-commerce. It aims at forecasting the revenue a business can expect from a customer over time. I did an explatory analysis. From Linear Regression to Neural Networks, explore how different models perform in predicting CLV.
This project analyzes an e-commerce dataset to gain insights into customer behavior, purchasing patterns, and popular products. By studying transaction data, we can identify top-selling items, understand customer preferences, and observe sales trends.