Full-stack Data Analystics : Virtual Internship Program - RevoU X Telkom
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Updated
May 29, 2024 - Jupyter Notebook
Full-stack Data Analystics : Virtual Internship Program - RevoU X Telkom
This data project analyses a UK-based retailer's customers based on their Recency, Frequency and Monetary values and accordingly assists with customer re-segmentation work.
Eskwelabs Data Science Fellowship Cohort 13 - Sprint 1 Repository
A customer segmentation prediction and analysis project with the implementation of RFM analysis and DBSCAN clustering algorithm
This project showcases how to perform Recency, Frequency, and Monetary (RFM) analysis using the powerful Polars DataFrame library in Python.
Customer Segmentation
A RFM model is implemented to relate to customers in each segment this code has been implemented in R
Group Project for Data Science for Business Project (SMU Master of IT in Business)
Personal projects 1 & 2
Neste projeto será realizada uma análise do tipo RFV (Recência, Frequência e Valor) com dados que encontrei neste video no Youtube do canal Jie Jenn.
This project aims to conduct an analysis of costumers behavior and perception of the brand, by implementing different marketing analytics techniques and methods: RFM (recency, frequency, monetary) model, churn classification, MBA (market basket analysis) and sentiment analysis.
Doing RFM analysis on Online retail data using K-means clustering
Análise de segmentação RFM para um mercado que enfrenta dificuldades para fidelizar clientes. Um projeto do bootcamp Laboratoria.
This project employs XGBoost regression and XGBoost classifier model to predict user order and user churn on online travel agency data. Reach 97% prediction accuracy.
RFM model-based Customer Segmentation using Clustering, Classification and BTYD Models
Tools for Customer Segmentation using RFM Analysis
Recency, Frequency and Monetary (RFM) Segmentation guidance for Amazon Pinpoint.
The project offers RFM segmentation, analyzing Recency, Frequency, and Monetary value. These metrics are vital for understanding customer behavior, influencing both retention and lifetime value.
This project aims to analyze automobile sales data using RFM segmentation combined with machine learning techniques to gain insights into customer behavior and optimize marketing strategies.
The repo focuses on my works in data science
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