Customers RFM Clustering (Market Segmentation based on Behavioral Approach)

Project recommendation system for DonorsChoose.org in R based on RFM analysis and K-Means Clustering

KPMG Virtual Internship

A simple Blazor app which takes a transaction list and generates a spreadsheet of customers along with their raw RFM metrics.

This repository contains code and analysis for performing RFM (Recency, Frequency, Monetary) analysis on retail store customer data. The analysis is followed by customer segmentation using the KMeans clustering algorithm to gain insights into customer behavior and enable data-driven marketing strategies.

RFM analysis and association rules for an online retail data set.

EDA and customer segmentation with RFM analysis on hacker earth dataset. https://www.hackerearth.com/challenge/hiring/LMG-analytics-data-science-hiring-challenge

Customer segmentation analysis

Analysis of large retailer's sales data. Customer segmentation using RFM analysis and k-means clustering

Identifying customer segments based on their purchasing behavior using RFM analysis and K-Means clustering.