husskhosravi/customer-segmentation-RFM

Customer segmentation analysis using RFM (Recency, Frequency, Monetary) methodology with clustering in ML

Language: Jupyter Notebook - Size: 7.08 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

Coderbiswajit24/Danny-Dinner-First-Case-Study

This project explores customer behavior and sales trends to help this small restaurant thrive.

Size: 113 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0

Dexter-Cosmoos/store_sales_db

The "Store Sales Database" project analyzes 100K sales entries, leveraging Python, SQL, and Power BI to manage, analyze, and visualize store performance. It provides insights into sales trends, regional performance, and customer behavior through real-time analytics, detailed reporting, and dynamic dashboards to support data-driven decisions.

Language: Jupyter Notebook - Size: 39.8 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Tolumie/RFM-Marketing-Analysis

This project focuses on RFM (Recency, Frequency, and Monetary) Analysis, a powerful customer segmentation technique used in marketing and business analytics. The analysis helps businesses identify their most valuable customers, potential loyalists, at-risk customers, and churned users.

Language: Jupyter Notebook - Size: 78.1 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

venkat-0706/Black-Friday

Black Friday Sales Analysis explores customer demographics, purchasing behaviors, and product trends to uncover insights and patterns driving sales during Black Friday events.

Language: Jupyter Notebook - Size: 480 KB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 9 - Forks: 0

shubhammittal-data/Sales-Customer_Dashboard_Tableau

An interactive Tableau project showcasing advanced data visualization techniques for sales performance and customer analytics. This dashboard provides key business insights using KPIs, trend analysis, and customer segmentation. Designed for executives, sales managers, and marketing teams to drive data-driven decision-making.

Size: 1.38 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

vanshuchaudhary/Retail-sale

project uses MySQL to analyze retail sales data, focusing on customer behavior, sales trends, and product performance. The dataset includes transactions, customer demographics, and purchase details, helping businesses optimize strategies. Key Insights: 📊 Revenue Analysis – Total sales, top-spending customers 📅 Sales Trends

Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

SrujayReddy/Selling-Laptops

Predicting whether users will click on a promotional email for laptops based on historical user data and browsing logs.

Language: Python - Size: 3.08 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

dhruvil-26/PowerBI-Projects

This repository contains Power BI projects showcasing data analysis and interactive dashboards. Each project includes detailed visualizations and insights on diverse topics such as loan analysis, sales performance, and customer behavior.

Size: 1000 KB - Last synced at: 29 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Dhananjay1509/Advanced-Geofencing

Optimizing Retail Offers with Location-Based Geofencing Technology

Language: Kotlin - Size: 623 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

tedoaba/KAIM-W4

Customer Purchasing Behavior Analysis and Sales Prediction

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Sriram-infohub/Market-Basket-Analysis-and-Recommendation-System

Recommendation system using ML

Language: Jupyter Notebook - Size: 381 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Pra5etya/US-cab-industry

Cab Investment Strategy in the US examines market trends, customer demographics, and profitability for Pink Cab and Yellow Cab, offering insights to guide strategic investment decisions through data analysis, visualizations, and forecasting.

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Srujana-Konga/Customer-Segmentation

This project segments customers based on purchasing behavior and demographics to enhance marketing strategies and improve customer satisfaction. A Decision Tree classifier is utilized to predict customer responses to marketing campaigns using various customer attributes.

Language: Jupyter Notebook - Size: 811 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 534 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

Bich0507/Analysis-customer-behavior

Analysis customer behavior in a movie center

Language: Python - Size: 13.7 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

RadhikaBailurkar/MTech_Seminar_2

Literature Survey, Documentation, Analysis and Results

Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Karemelshimi/Customers-Personality-Analysis-SQL

Detailed analysis of a company’s ideal customers, helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors and concerns of different types of customers

Size: 102 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

protima-tarafdar/TF-Search-Surge-Trend-Story

Performed Consumer Behavior Analysis using Google Trends for the word Tyson Chicken, and providing recommendations

Size: 1.75 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

protima-tarafdar/British-Airways-Data-Science

Utilized BeautifulSoup to webscrape data and gain company insights. Also applied Random Forest algorithm to predict customer buying behaviour.

Language: Jupyter Notebook - Size: 1.52 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Deepshikha05/Customer_Behavior_Analysis

Language: Jupyter Notebook - Size: 185 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

sinaaghaee/ProcessMiningProject-CustomerBehaviorAnalysis

Customer journey analysis with PM4PY in Python.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

amina-safdar/customer_churn_prediction

Predicting churn among Manning Publication's liveBook customers.

Language: Python - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

quannguyen0103/E-commerce-customer-behavior-analysis

Analyzing customer interactions, purchases, and engagement on an e-commerce website 💡

Size: 228 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

anaramirli/human-activity-recognition

Multivariate Time Series Classification for Human Activity Recognition with LSTM

Language: Jupyter Notebook - Size: 67 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

Lindahe0707/Customer-Loyalty-Analysis-From-Purchasing-Behavior

This is a customer loyalty analysis based on historical purchase behavior in R language.

Language: HTML - Size: 2.24 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

linapg/exploring-sakila-dvd-rental-database

With SQL queries I explore the Sakila DVD Rental database, to present insights about customer behavior and rental patterns.

Size: 1.25 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

pjsudharshan/Customer_Behaviour_Analysis_and_Prediction

Language: Python - Size: 28.9 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0