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Projects in Awesome Lists tagged with customer-segmentation

A curated list of projects in awesome lists tagged with customer-segmentation .

https://github.com/retentioneering/retentioneering-tools

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

behaviour-analysis business-intelligence clickstream customer-journey-map customer-segmentation data-visualization graph-visualizer library machine-learning machinelearning pandas predictive-analytics predictive-modeling product-analytics python segmentation user-trajectories user-trajectories-analysis web-analytics

Last synced: 06 May 2025

https://github.com/DjangoCRM/django-crm

Analytical CRM with Tasks management, Email marketing and many more. Django CRM software app is built for individual use by businesses of any size or freelancers and is designed to provide easy customization and quick development. ✨

contacts-app crm crm-platform crm-system customer customer-segmentation django django-crm django-framework email-marketing hacktoberfest mailing memo python reports sales task-list todo-app todo-list todoapp

Last synced: 14 Sep 2025

https://github.com/joaolcorreia/rfm-analysis

Python script (and IPython notebook) to perform RFM analysis from customer purchase history data

customer-analytics customer-segmentation ipython-notebook python-script rfm-analysis

Last synced: 07 Apr 2025

https://github.com/djangocrm/django-crm

Analytical CRM with Tasks management, Email marketing and many more. Django CRM software app is built for individual use by businesses of any size or freelancers and is designed to provide easy customization and quick development. ✨

contacts-app crm crm-platform crm-system customer customer-segmentation django django-crm django-framework email-marketing mailing memo project-manager python reports sales sales-analysis task-list todo-app todo-list

Last synced: 19 Apr 2026

https://github.com/jalajthanaki/customer_segmentation

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

customer-analytics customer-segmentation e-commerce-example machine-learning-algorithms predictive-analytics voting-classifier

Last synced: 11 Sep 2025

https://github.com/rsquaredacademy/rfm

Customer Segmentation using RFM Analysis

customer-analytics customer-segmentation rfm-analysis rstats segmentation

Last synced: 15 Mar 2026

https://github.com/sonwanesuresh95/rfm

Python Package for RFM Analysis and Customer Segmentation

customer-segmentation python rfm-analysis

Last synced: 10 Apr 2026

https://github.com/imsanjoykb/sales-and-marketing-analytics

This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.

churn-prediction customer-lifetime-value customer-segmentation machine-learning market-analysis market-response-model predicting-purchase predicting-sales uplift-modeling

Last synced: 30 Oct 2025

https://github.com/mickaelandrieu/php_customers_segmentation

Can we do Customers Segmentation using PHP and Unsupervized Machine Learning ? Yes we can ! 🤡

customer-segmentation machine-learning php

Last synced: 23 Apr 2025

https://github.com/dittofeed/clickhouse-segments-tutorial

Repository demonstrating how to calculate user segments in Clickhouse.

clickhouse customer-engagement customer-segmentation

Last synced: 21 Sep 2025

https://github.com/danieldacosta/customer-segmentation

Unsupervised learning problem. Customer segmentation project

customer-segmentation kmeans

Last synced: 30 Apr 2025

https://github.com/lefteris-souflas/business-analytics-case-studies

Three business analytics case studies were undertaken, encompassing market basket analysis, customer segmentation, and campaign management. SAS Visual Data Mining and Machine Learning on SAS Viya was utilized to explore data and provide insights. A comprehensive report addressing both technical and business aspects was delivered.

association-rules customer-segmentation cut-off-point-calculation data-partitioning decision-tree fraud-detection logistic-regression market-basket-analysis maximal-tree neural-network rfm-segmentation sas-visual-analytics sas-viya stratified-sampling

Last synced: 05 Mar 2026

https://github.com/jen-uis/customer-segmentation-analysis

This repository contains materials for the Spring 2024 STAT 208 class, specifically for Team 8. All materials are the property of Team 8, University of California, Riverside, A. Gary Anderson School of Management. Thank you for viewing our repository.

business-analytics customer-segmentation customer-segmentation-analysis data-analysis-python jupyter-notebook marketing-analytics marketingdata project-repository python-3 team-project university-of-california-riverside

Last synced: 27 Feb 2026

https://github.com/priyanka7411/dataspark-electronics-retail-analytics

DataSpark is a data analysis project using Python, SQL, and Power BI to analyze global electronics retail sales, focusing on customer behavior, sales performance, product profitability, and store performance to optimize sales strategies.

analytics-providers business-intelligence customer-segmentation data data-analysis electronics-industry global-sales pandas powerbi powerbi-visuals product-profitability python retail-analytics sales-performance sql store-analysis visualization

Last synced: 10 Jul 2025

https://github.com/geekquad/customer-segments

Analyzing a dataset containing data on various customers' annual spending amounts of diverse product categories for internal structure. Doing so would equip the distributor with insight into how to best structure their delivery service to meet the needs of each customer.

customer-segmentation customer-segmentation-analysis gmm-clustering visualization

Last synced: 10 Jul 2026

https://github.com/chaitanyac22/customer-segmentation-using-rfm-analysis-for-online-retail

This project uses RFM (Recency, Frequency, and Monetary) segmentation to analyze customer behavior and provide insights for targeted marketing campaigns. By classifying customers based on their purchasing patterns, strategies can be tailored to improve customer retention, drive growth, and maximize the lifetime value of each customer.

customer-segmentation data-analysis data-science data-visualization exploratory-data-analysis marketing numpy pandas python python3 rfm rfm-analysis rfm-segmentation

Last synced: 11 Jun 2025

https://github.com/rakibhhridoy/ecommerce-bi

Business Intelligent in e-commerce, there are many part of it. This is project that based on e-commerce business analysis, model building, predictions and forecasting.

business business-analytics business-intelligence customer-products customer-segmentation dashboard dashboards data-science e-commerce-project forecasting product-engineering python storytelling tableau time-series-analysis

Last synced: 29 Jun 2026

https://github.com/javaidiqbal11/customer-segmentation-using-machine-learning-python

This repo is developed for the well-known solution for customer segmentation using Machine Learning algorithms with Python programming.

customer-segmentation machine-learning python

Last synced: 07 May 2026

https://github.com/md-emon-hasan/ml-projects-telcom-customer-churn-prediction

📱 Customers are likely to leave a telecom service, enabling companies to take measures for retention and create accurate churn prediction models.

boostrap5 customer-churn customer-segmentation data-engineering data-science data-visualization logestic-regression machine-learning telco-customer-churn-prediction telcom-churn

Last synced: 05 May 2026

https://github.com/evangks/k-means-clustering-synthetic-dataset

Customer Segmentation using K-Means Clustering: A complete machine learning workflow for segmenting customers based on synthetic demographic and spending data, with visualizations, evaluation metrics, and reproducible Jupyter notebook.

clustering customer-segmentation data-science jupyter-notebook k-means-clustering machine-learning portfolio-project python27 scikit-learn unsupervised-learning

Last synced: 10 Mar 2026

https://github.com/hrayrmuradyan/customerprofile

An easy-to-use package for customer segmentation using Python.

clustering customer-segmentation k-means-clustering package python

Last synced: 06 Mar 2026

https://github.com/thecoderpinar/customer-segmentation-clv-analysis

Optimize marketing strategies and enhance decision-making. Explore customer data, segment behavior, calculate CLV, analyze demographics, and visualize insights. 🚀

clv-analysis customer-segmentation data-analysis data-science data-visualization jupyter-notebook machine-learning marketing-strategy python

Last synced: 03 Apr 2025

https://github.com/newking9088/marketing_campaign_customer_segmentation_classification

This repository contains a machine learning project to optimize marketing strategies for bank term deposits. Using models like Logistic Regression, Random Forest, SVM, KNN, XGBoost and Neural Network, it classifies customers based on their likelihood of subscribing.

artificial-neural-networks classification-algorithm customer-segmentation machine-learning

Last synced: 13 Jul 2025

https://github.com/samruddhi3012/shopping-habits-customer-behavior-analysis

Hello there! This repo contains python project based on E-Commerce Customer Behavior analysis.

customer-segmentation customerbehavior data-analysis ecommerce python

Last synced: 29 Mar 2025

https://github.com/stephen-adwini-badu/04.-quantium-project

This project investigates customer spending patterns and sales trends for Quantium. This notebook is designed to provide a comprehensive analysis of customer purchasing trends and behaviors, specifically focusing on the chips category in a supermarket's portfolio. The objective is to derive actionable insights to support strategic recommendations

customer-segmentation data-science data-visualization jupyter-notebook

Last synced: 14 Mar 2025

https://github.com/aisurjyasamantaray/customer-purchase-analysis

This project involves an in-depth analysis of customer purchasing behavior and sales performance to drive business insights and strategies.

customer-purchasing customer-segmentation data-visualization dataanalysis dataanalysis-projects marketing-insights matplotlib numpy pandas python revenue-and-performance-analysis seaborn-plots

Last synced: 09 Apr 2026

https://github.com/rozhakxd/proyek-segmentasi-pelanggan

Customer Segmentation & Classification with ML | IDCamp 2024 Final Project (Unsupervised + Supervised)

classification clustering customer-segmentation dicoding idcamp2024 kmeans logistic-regression machine-learning

Last synced: 26 Jul 2025

https://github.com/jahnavigupta06/zepto-delivery-customer-analytics

Real-time SQL + Power BI Analytics Project replicating Zepto's customer & delivery insights.

business-intelligence churn-analysis customer-segmentation data-analysis data-visualization powerbi sql-server

Last synced: 02 Aug 2025

https://github.com/transmutable-actinomyces723/ditto

🎥 Generate high-quality video editing data with Ditto, a scalable pipeline that trains advanced instruction-based editing models.

customer-engagement customer-segmentation digital-shadow digital-twins eclipse-ditto generative-model human-animation iot javascipt journey mongodb onboarding push-notifications react self-hosted sms-notifications w3c white-label

Last synced: 20 Apr 2026

https://github.com/prashver/customer-segmentation

This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.

customer-segmentation matplotlib numpy pandas seaborn sklearn

Last synced: 07 Apr 2026

https://github.com/assem-elqersh/e-commerce-customers-segmentation

This Repository is a Part of MSC EELU Data Science & Machine Learning Bootcamp Final Project

clustering-algorithms customer-segmentation data-science e-commerce machine-learning targeted-marketing

Last synced: 10 Apr 2026

https://github.com/mobilozophy/js-devkit-showcase

A resource for developers to explore and integrate Mobilozophy’s customer engagement tools into web apps. Includes step-by-step guides, live demos, and best practices for features like SMS Opt-In, loyalty programs, coupons, and analytics.

analytics coupon-code-generator coupon-service coupons customer-engagement customer-segmentation email-marketing event-tracking javascript loyalty loyalty-platform loyalty-program marketing-analytics marketing-automation marketing-tools sms sms-client sms-messages sms-service web-analytics

Last synced: 16 Jan 2026

https://github.com/rayyan9477/household-transactions-analysis-and-clustering

This project involves analyzing household transaction data to gain insights into spending patterns and behaviors. The analysis includes data cleaning, exploratory data analysis (EDA), clustering using K-Means, and visualization of customer segments.

customer-segmentation data-analysis data-cleaning data-science exploratory-data-analysis kmeans-clustering machine-learning

Last synced: 27 Feb 2025

https://github.com/nafisalawalidris/building-a-clustering-model-for-customer-segmentation

Customer Segmentation Using Clustering: This repo applies clustering algorithms to a customer transaction dataset, grouping similar customers together based on their purchasing behavior. Targeted marketing strategies can be developed by analyzing distinct customer segments.

clustering customer-segmentation data-analysis data-visualization k-means machine-learning marketing-analytics unsupervised-learning

Last synced: 16 Mar 2025

https://github.com/markphamm/python-segment-shopping-customers

This project segments mall customers using K-Means clustering to identify key shopping groups based on income, age, and shopping score. It includes data preprocessing, cluster analysis, and visualization with Python libraries such as Pandas, Seaborn, and Scikit-learn.

customer-segmentation kmeans-clustering machine-learning

Last synced: 13 Apr 2026

https://github.com/stevehoober254/customer_segmentation

This project utilizes machine learning to identify distinct customer groups based on behavior, demographics, and preferences. Let data guide your decisions and drive business

customer-segmentation machine-learning machine-learning-algorithms notebook-jupyter

Last synced: 21 Feb 2026

https://github.com/tushar2704/bank-german-customer-segmentation

This project aims to revolutionize the way banks market to their customers by leveraging machine learning techniques to segment customers based on their account history, credit scores, and demographics.

artificial-intelligence banking clustering customer-segmentation data-science machine-learning python streamlit-tushar2704 tushar2704

Last synced: 25 Apr 2026

https://github.com/chicolucio/marketing-campaign-optimization

Turning data into smarter marketing — prediction of customer behavior to maximize profit

customer-segmentation data-science marketing python rfm-analysis segmentation

Last synced: 27 Apr 2026

https://github.com/nthaihoc/rfm-segmentation-ml

An automatic machine learning based customer segmentation model with RFM analysis at ICTA conference 2024

customer-segmentation hadoop kmeans-clustering-algorithm machine-learning mllib rfm-analysis spark

Last synced: 28 Apr 2026

https://github.com/samruddhi3012/customer-behavior-analysis

Hello there! This repo contains python project based on E-Commerce Customer Behavior analysis.

customer-segmentation customerbehavior data-analysis ecommerce python

Last synced: 02 May 2026

https://github.com/chouaib-629/customersegmentation

Hadoop-based Customer Segmentation project using the Online Retail Dataset. Implements MapReduce for processing and Python for preprocessing to uncover customer purchasing patterns for targeted marketing.

big-data customer-segmentation data-analysis data-science distributed-computing hadoop hadoop-mapreduce java mapreduce marketing-analytics python

Last synced: 04 May 2026

https://github.com/alhadikhan/e-commerce-customer-behavior-analysis-and-segmentation

This project utilizes machine learning to analyze and segment e-commerce customer behavior. It predicts purchases and clusters customers based on demographic data and product preferences, aiming to optimize marketing strategies and enhance customer satisfaction.

customer-behavior-analysis customer-segmentation e-commerce machine-learning marketing-strategies

Last synced: 26 Mar 2025

https://github.com/neelanjan-chakraborty/custoclarity

CUSTO CLARITY is a customer segmentation model built in Python. Using clustering on real retail datasets, it identifies 5 customer segments that unlocked strategic retail partnerships. Powered by scikit-learn, pandas, seaborn, and Matplotlib.

clustering-algorithm clustering-algorithms customer-analytics customer-segmentation data-visualization kmeans kmeans-clustering pandas python scikit-learn

Last synced: 11 May 2026

https://github.com/md-emon-hasan/ml-project-customer-segmentation

📈 Implementing clustering algorithms, it provides valuable insights that can targeted marketing strategies, improve customer relationship management.

analytics churn-prediction custom-elements customer-segmentation kmeans-clustering marketing-analytics rfm rfm-analysis

Last synced: 11 May 2026

https://github.com/iness000/online-retail-customer-segmentation

This project performs comprehensive customer segmentation analysis on an online retail dataset using machine learning clustering techniques and RFM (Recency, Frequency, Monetary) analysis. The goal is to identify distinct customer segments to drive better customer relationship management strategies and business insights.

customer-segmentation data-analysis k-means

Last synced: 31 Aug 2025

https://github.com/vbhatsaccnt/retail-strategy-and-analytics-optimization-of-control-stores-for-sales-enhancement

In this project, we aim to optimize the performance of retail chain stores by establishing control stores based on their performance compared to selected trial stores. By leveraging data analytics and strategic insights, we seek to enhance sales revenue and drive growth within the retail chain.

customer-segmentation data data-science risk-analysis

Last synced: 13 May 2026

https://github.com/easonlai/customer_segmentation_with_rfm_k-means

This is a code sample repository to leverage the famous Online Retail dataset by UCI Machine Learning Library to perform Customer Segmentation with RFM Modelling and perform clustering by K-Means cluster algorithm.

customer-segmentation k-means k-means-clustering k-means-implementation-in-python python python3 retail rfm rfm-analysis

Last synced: 13 May 2026

https://github.com/jasminapz/customer_segmentation_project

Customer segmentation project using the UCI Online Retail dataset

clustering customer-segmentation data-science machine-learning python

Last synced: 17 May 2026

https://github.com/ayaatmohammed/amazon-sales-analysis-pyspark

In-depth analysis of the Olist E-commerce dataset from Kaggle using PySpark for customer segmentation (RFM) and market basket analysis.

big-data big-data-analytics customer-segmentation data-analysis data-science ecommerce jupyter-notebook kaggle pyspark python rfm-analysis

Last synced: 05 May 2026

https://github.com/zenklinov/customer-segmentation

An interactive Streamlit app that performs customer segmentation using RFM analysis (Recency, Frequency, Monetary) and K‑Means clustering. You can use a built‑in sample dataset or upload your own transactions, explore distributions, determine the optimal number of clusters, visualize segments, and download the results.

customer-segmentation k-means-clustering streamlit

Last synced: 17 May 2026

https://github.com/sanchariii/customer_profiling

This project helps any company or market to target their desired customers or clients by clustering people according to their needs, behaviour and preferences so that they could improve their overall business performance.

customer-segmentation customer-segmentation-analysis k-means-clustering

Last synced: 19 Jun 2025

https://github.com/victorowinoke/custmer-segmentation-using-rfm-python-

Customer Segmentation using the Recency, Frequency and Monetary Values

customer-segmentation data data-visualization python3 science time-series-analysis

Last synced: 26 May 2026

https://github.com/shru924/ecommerce_customer_behavior_analysis

A machine learning project that analyzes and segments e-commerce customers based on behavior patterns using Python, Random Forest, and data visualization.

customer-segmentation data-analysis jupyter-notebook machine-learning matplotlib pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/eshansugeesh/fico-score-loan-default-modeling-project

Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.

bucketing classification credit-risk customer-segmentation data-science discretization fico-score financial-analytics loan-analysis loan-default log-likelihood machine-learning numpy pandas predictive-modeling risk-modeling scikit-learn segmentation statistical-modelling

Last synced: 06 May 2026

https://github.com/piyushkumar2025/data-analytics-customer-segmentation-analysis

Implemented RFM model, ensured data quality, and performed EDA using Python. Developed a Tableau Dashboard for streamlined visualization and actionable insights into customer segmentation and behavior.

customer-segmentation dataanalysis dataanalytics datacleaning datavisualization exploratory-data-analysis numpy-library pandas-python python3 rfm-analysis

Last synced: 15 Apr 2026

https://github.com/nurulashraf/customer-segmentation-hierarchical-clustering

A customer segmentation project using hierarchical clustering to group customers based on their spending behaviour and demographics. This helps businesses identify patterns and create targeted marketing strategies.

business-analytics clustering-algorithm customer-segmentation data-analysis hierarchical-clustering machine-learning python unsupervised-learning

Last synced: 18 Apr 2025

https://github.com/rakibhhridoy/bankcustomerdataviz-powerbi

Bank customer analysis for detecting key loan targeted customers in different categories. The segment is divide by gender, education level, marital status and their characteristics in different state. All these analysis done in PowerBi report or dashboard.

bank banking customer customer-segmentation dataviz dataviz-tools powerbi powerbi-report

Last synced: 21 Feb 2026

https://github.com/arjunan-k/customer_segmentation

Explored the sales data of a retail company using SQL and performed customer segmentation by RFM technique.

customer-segmentation rfm-analysis sql

Last synced: 03 Mar 2026

https://github.com/d-kleine/fashion_shop_customers

Feature Engineering to build a gender prediction model for an e-Commerce Fashion Shop

customer-segmentation feature-engineering

Last synced: 17 Mar 2025

https://github.com/susmnty/client-iq

The project focuses on predicting customer status using machine learning. It classifies customers as active, inactive, or at risk. Python and ML libraries are used for data analysis and modeling. The goal is to help businesses reduce churn. It supports better decision-making through predictive insights.

business-analytics churn-prediction customer-segmentation data-preprocessing feature-engineering machine-learning-models model-evaluation

Last synced: 16 Jun 2025

https://github.com/mnitin-reddy/optimizing-e-commerce-logistics-and-customer-segmentation-using-machine-learning

This project applies machine learning to optimize e-commerce logistics and customer segmentation. By predicting delivery delays and cancellations using classification models and identifying customer segments with clustering techniques, it helps improve operational efficiency and targeted marketing strategies.

classification clustering customer-segmentation dbscan-clustering exploratory-data-analysis feature-engineering feature-extraction machine-learning marketing-analytics

Last synced: 17 Mar 2025

https://github.com/kshitizrohilla/mall-customer-segmentation-using-k-means-clustering-algorithm

This project aims to perform customer segmentation on a Mall customer dataset using the K-Means clustering algorithm. The goal of this project is to cluster the customers based on their purchasing behavior and demographic characteristics.

cluster clustering clustering-algorithm clustering-methods customer-segmentation customer-segmentation-analysis k-means-clustering k-means-clustering-model k-means-clustering-segmentation k-means-clustering-sklearn mall-customer-segmentation

Last synced: 31 Mar 2025

https://github.com/ngangawairimu/customer-lifetime-value-clv-and-customer-segmentation-rfm-project

This project performs cohort analysis to estimate Customer Lifetime Value (CLV) by analyzing weekly revenue and user registrations over 12 weeks, forecasting future revenue, and providing actionable insights for marketing and business strategy.

clv-analysis cohort-analysis customer-segmentation rfm-analysis

Last synced: 04 Feb 2026

https://github.com/noorulhudaajmal/customer-segmentation-analysis

Customer segmentation and analysis of purchasing behaviour

cluster-analysis customer-segmentation data-analysis

Last synced: 07 Oct 2025

https://github.com/yashmittalz/customer-segmentation

A machine learning project that segments customers into meaningful groups using advanced clustering techniques, enabling targeted marketing strategies based on both numerical and categorical data.

categorical-analysis clustering clustering-algorithm customer-segmentation machine-learning numerical-analysis segmentation

Last synced: 05 Sep 2025

https://github.com/thanhloc81/rfm-model-project

✨ Build a flow to deploy Segmentation evaluation through Python programming.

customer-segmentation numpy pandas python rfm-analysis

Last synced: 03 May 2026

https://github.com/eshansugeesh/amex-machine-learning-project

Predictive modeling on American Express dataset using advanced ML algorithms, extensive feature engineering (300+ features), and cloud-based data science workflows.

cross-validation customer-segmentation data-analytics data-science feature-engineering financial-data google-colab gradient-boosting hyperparameter-tuning lightgbm machine-learning neural-networks pandas predictive-modeling python reproducibility xgboost

Last synced: 07 May 2026

https://github.com/sevilaymuni/e-commerce-insights-platform

End-to-end data analytics pipeline for customer segmentation, personalized marketing, and a real-time economic trends dashboard.

customer-segmentation dashboard-application deployment e-commerce-platform k-means-clustering python streamlit webapp

Last synced: 08 May 2026

https://github.com/cego669/russianalcoholconsumption

This repository includes a solution to a business problem in which a company wants to discover 10 other regions in Russia that have similar alcohol consumption patterns to Saint Petersburg. Dynamic Time Warping and Principal Component Analysis techniques were used to get to the final list of regions.

alcohol-consumption business customer-segmentation dynamic-time-warping principal-component-analysis python russia similarity time-series time-series-clustering

Last synced: 09 May 2026

https://github.com/bakulwani/data-mart-weekly-sales

Cleaned and analyzed weekly sales data using SQL to build a business-focused data mart with KPIs, customer segmentation, and platform insights.

customer-segmentation data-analysis data-cleaning etl kpi-analysis mysql sales-analysis sql

Last synced: 21 Feb 2026

https://github.com/ikanurfitriani/final-project4-km-clustering

This repository contains code archives for models that predict Customer Segmentation to Define Marketing strategy. Link deployment:

customer-segmentation flask jupyter-notebook kmeans-clustering python random-forest

Last synced: 10 May 2026

https://github.com/lasyakonduru/e-commerce-analysis-using-advanced-sql

This project analyzes e-commerce order fulfillment using Advanced SQL Techniques and Python-based visualization to uncover insights on sales trends, customer segmentation, shipping cost optimization, and payment preferences.

business-analytics common-table-expressions customer-segmentation data-visualization database-design indexing normalization-techniques partitioning window-functions-in-sql

Last synced: 24 Jan 2026

https://github.com/sujith-da279/2market_consumeranalytics

Customer behaviour analysis for 2Market, a global retailer, delivering actionable insights across demographics, advertising channels, and product preferences.

business-data-analysis customer-segmentation data-visualization demographic-analysis marketing-analytics report sql tableau-dashboards

Last synced: 28 Jan 2026

https://github.com/mehak-089/customer-segmentation-insights

This project analyzes real-world e-commerce sales data using RFM (Recency, Frequency, Monetary) analysis and K-Means Clustering to segment customers based on purchasing behavior.

clustering customer-segmentation python rfm tableau tableau-dashboards tableau-public

Last synced: 06 Feb 2026

https://github.com/majobasgall/customer_segmentation_using_kmeans_and_streamlit

Streamlit app with a business case study focused on customer segmentation using K-means clustering

customer-segmentation kmeans-clustering python streamlit

Last synced: 26 Feb 2026

https://github.com/secureauditx/ecommerce-user-behavior-analysis

E-commerce User Behavior Analysis with Streamlit Dashboard

customer-segmentation data-analysis ecommerce python streamlit

Last synced: 28 Feb 2026

https://github.com/deliprofesor/customerseg-customer-segmentation-and-shopping-analysis

This project performs data exploration, segmentation, and modeling of wholesale customer data using clustering algorithms, PCA, and decision trees to analyze purchasing behavior and predict customer channel preferences.

clustering customer-segmentation data-analysis data-visualization dbscan decision-tree gmm kmeans machine-learning pca

Last synced: 24 Jun 2025

https://github.com/lijesh010/customer_analysis

This repository contains a data science project aimed at analyzing customer behavior and classifying them based on their likelihood to accept marketing campaigns. Additionally, the project involves clustering customers into different segments for targeted marketing strategies.

agglomerative-clustering clustering-algorithm customer-analysis customer-segmentation exploratory-data-analysis internship-project jupyter-notebook kmeans-clustering machine-learning-algorithms python visualization

Last synced: 21 Apr 2026

https://github.com/ayushi-gajendra/restaurant-order-analysis-sql

End-to-end SQL analysis of 12,266 restaurant transactions to identify high-performing menu items, revenue concentration, bulk ordering behavior, and strategic growth opportunities.

analytics-portfolio business-intelligence case-study customer-segmentation data-analysis data-analytics database-analysis menu-engineering mysql revenue-analysis sql sql-project

Last synced: 05 Jun 2026

https://github.com/muhammadadilnaeem/customer-segmentation-unsupervised-learning

This project explores customer segmentation using various clustering techniques on a dataset of mall customers. The goal is to identify distinct customer groups based on demographic and behavioral attributes, enabling businesses to tailor their marketing strategies more effectively.

customer-segmentation dbscan-clustering-algorithm hirarchical-clustering kmeans-clustering unsupervised-machine-learning

Last synced: 06 Jun 2026

https://github.com/humsarika/sarika-kushwaha-zeotap-assignment

This repository contains the solutions for the exploratory data analysis (EDA), building a lookalike model, and performing customer segmentation using clustering techniques.

customer-segmentation exploratory-data-analysis lookalike-model python

Last synced: 24 Apr 2026

https://github.com/jainab-khanam/loan-prediction-shap

Predict loan approvals using machine learning with SHAP explainability. Analyze customer data, build interpretable models, and visualize feature impact for business decision support.

banking-analytics classification customer-segmentation data-science feature-importance jupyter-notebook loan-prediction logistic-regression machine-learning model-explainability shap sklearn

Last synced: 25 Apr 2026

https://github.com/felixamaladhas/customer-clustering-and-purchase-affinity-modeling-using-ml-predictive-algorithms

Apply customer segmentation using unsupervised learning and perform market basket analysis to uncover purchasing patterns from the Online Retail dataset.

customer-segmentation kmeans-clustering online-retail pandas python sklearn-library unsupervised-learning

Last synced: 10 May 2026