I will do customer segmentation and analysis using machine learning

Not all customers are equal but without segmentation, you're treating them like they are. I'll cluster your customer base using K-Means on RFM (Recency, Frequency, Monetary) features, so you know exactly who your high-value buyers are, who's drifting away, and who needs re-engagement.

I've done this on 2,240+ customer records identifying 4 distinct behavioral segments with visualized spend distributions, and translating them into concrete marketing strategies that improved campaign relevance by an estimated 30%.

What I deliver

• RFM feature engineering from your raw transaction data
• Elbow-method optimised K-Means clustering (right number of clusters, automatically)
• Labeled segment profiles: high-value, at-risk, dormant, new
• 6+ Seaborn/Matplotlib visualizations of spend distribution per segment
• Marketing strategy recommendations for each segment (written report)
• Clean Python notebook + CSV export of labeled customers

Buyer requirements

• Transaction data with at least: customer ID, date, order value (CSV/Excel)
• Approximate number of customers / records
• Are you looking for a written strategy report per segment?
• Do you need the labeled CSV for import into your CRM?