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recency-frequency-monetary

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Applied SAS techniques for data analysis and machine learning in a milestone project. Base SAS Programming and SAS Viya tools were utilized for preprocessing, customer profiling, sales analysis, promotions, supplier evaluation, and customer segmentation. Results were visualized comprehensively.

  • Updated Apr 18, 2024
  • SAS

This project focused on applying machine learning to build a clustering model to segment and analyze customer characteristics in the airline industry based on LRFMC scores using K-Means and suggest business strategy recommendations based on the results.

  • Updated Jan 23, 2023
  • Jupyter Notebook

This project involves performing customer segmentation and RFM (Recency, Frequency, Monetary) analysis on customer data from a retail company. The primary goal is to categorize customers into segments based on their buying behavior and identify potential target groups for marketing campaigns.

  • Updated Oct 9, 2023
  • Python

NextBuyPredictor is a machine learning project designed to predict whether a customer will make their next purchase within a specified timeframe. By analyzing customer purchase history and behavioral patterns, this tool helps businesses forecast buying behavior, optimize marketing strategies, and improve customer retention.

  • Updated Aug 29, 2024
  • Jupyter Notebook

This project aims to perform customer segmentation and revenue prediction for a gaming company based on customer attributes. The company wants to create persona-based customer definitions and segment customers based on these personas to estimate how much potential customers can generate in revenue.

  • Updated Oct 9, 2023
  • Python

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