- Analyzed transactional data for an online retail company to develop customer segmentation strategies for targeted and effective marketing campaigns.
- Conducted comprehensive data cleaning and transformation, implemented RFM data modeling techniques, and applied machine learning algorithms such as K-means clustering for customer segmentation.
- Generated actionable insights by reporting clusters of customers with RFM values through the utilization of Tableau Dashboard. Tools and Technologies: Python, Pandas, NumPy, Matplotlib, Seaborn, K-means Clustering, Tableau.
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Online Retail Analysis requirments for business to value drived from the customer.RFM is used to analyze customer value. K-means clustring is used to seggragated the clusters of customers from most valued to least valued customer
Mubarakhussain1/Capstone-project--Retail-Analysis
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Online Retail Analysis requirments for business to value drived from the customer.RFM is used to analyze customer value. K-means clustring is used to seggragated the clusters of customers from most valued to least valued customer
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