I will build a customer segmentation and clv model

Indonesia

I speak Indonesian, English

Data Scientist

Data scientist and ML engineer specializing in customer analytics, predictive modeling, and end-to-end data pipelines. I build models that answer real business questions: which customers are most valu...
About this Gig

You have transaction data. But do you know which 20% of your customers generate 70% of your revenue or which ones are quietly disappearing?

I will analyze your customer transaction history and deliver a complete customer intelligence breakdown: who your best customers are, who is at risk of churning, and how much each segment is worth to your business over the next 12 months.

What I deliver:

  • RFM Segmentation identify Champions, Loyal, At-Risk, and Dormant customers
  • Churn Risk Scoring flag disengaging accounts before they're gone
  • CLV Modeling 12-month forward revenue projection per segment (Premium)

You receive:

  • Segment breakdown with visualizations
  • Written insights in plain business language
  • Jupyter Notebook with reproducible code
  • Actionable recommendations per segment
  • PDF report (Premium)

What I need from you: Transaction data with customer ID, date, and amount. Exported from Shopify, WooCommerce, Excel, or any CRM.

Message me before ordering to confirm your data qualifies.

Programming language:

Python

R

Technology:

Jupyter Notebook

Other

Analysis Type:

Statistical Analysis

Descriptive Analysis

Expertise:

Business Insights

Trends

Forecasting

Churn & retention

Tools:

RStudio

Google Colab

My Portfolio