prachee01/data-cleaning-task

"This repository contains a cleaned and preprocessed dataset for my Data Analyst Internship task. The dataset was processed using Excel, with missing values handled, duplicates removed, and data formats standardized. The repository includes the cleaned dataset, a README file explaining the cleaning process, and screenshots of key steps."

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Reshmakhaan/Excel-vrinda-store-analysis

This project 📊 dives into real sales data from Vrinda Store, using the power of Excel to extract insights and trends that matter. From top-selling products 🛍️ to monthly revenue trends 📆, it turns raw data into smart business decisions 💡 — no code required! 🚀 Great for learning Excel-based analytics.

Size: 8.51 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

yrehim7/superstore_eda_analysis

This project is an exploratory data analysis EDA of the Superstore dataset, examining sales, profit, customer, and regional patterns. The goal is to gain data-driven insights to support business decisions

Language: Jupyter Notebook - Size: 6.86 MB - Last synced at: 22 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

mariomanroe/Decision-Making-Project-Customer-Segmentation

Customer Segmentation

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Shriyaak/Retail-Sales-Analysis

Size: 44.9 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ARUNJOGLE/clvpulseplus

CLV PULSE - A DYNAMIC CUSTOMER LIFETIME VALUE PREDICTOR MODEL USING MACHINE LEARNING

Language: JavaScript - Size: 23.4 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 0

novianggita/Customer-Segmentation

Determining a store's customer segments based on their behavior

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Debojyoti1234567/Python-Project

Customer Segmentation using Clustering Techniques

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nikhilsree5/EcommCRM

CRM Analysis of a E commerce company.

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Bhargavi-Joshi/Retail-Store-Customer-Segmentation-Using-K-Means-Clustering

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Fiza-102/CUSTOMERS-DASHBOARD

This dashboard presents an overview of CUSTOMER data, trends and behaviour to understand customer segments and improve customer satisfaction. Building dashboard to help stakeholders, including salesmanager and executives to analyse Customers data respective to sales and profit and products bought.

Size: 628 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 1

cperazza/RFM_Segmentation

This is a basic workflow with CrewAI agents working with sales transactions to draw business insights and marketing recommendations. The agents will work on everything from the execution plan to the business insights report. It works with local LLM via Ollama (I'm using llama3:8B but you can easily change it).

Language: Python - Size: 1.89 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Geo-y20/Mall-Shoppers-Customer-Segmentation-Analysis

analyze the shopping behaviors and demographic profiles of customers visiting a mall using various clustering techniques.

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mishika12/Clustering-Segmentation_of_Survey_Respondents

Deploying clustering machine learning algorithms to segment survey respondents

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mahenderkore/KPMG-virtual-internship

Data quality assessment and insights generation

Size: 567 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tieugem1997/CustomerSegmentation_Streamlit

A Streamlit App for Customer Segmentation Project using Kmeans Clustering (Best Choice)

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Kekyei/Churn_Model

This repository contains the data, code, and documentation for a project to analyze and predict churn in PowerCo's SME customer segment. The project includes data exploration, cleaning, and transformation, as well as the development and evaluation of a machine learning model to predict churn based on price sensitivity and other relevant factors.

Language: Jupyter Notebook - Size: 15.4 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

aryaninformatrixtech/Customer-Segmentation-Python-Project

Customer Segmentation Python Project

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MohammadMoradpoor/RFMClustify

📊🎯✨ Harness the power of the RFM (Recency, Frequency, Monetary) method to cluster customers based on their purchase behavior! Gain valuable insights into distinct customer segments, enabling you to optimize marketing strategies and drive business growth. 📈💡🚀

Language: Jupyter Notebook - Size: 21.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

bharatkulmani/Customer-Data-Sorting

This Program is for Clustering Customer Data On the Basis of their Spending, Income,Family and Children.

Language: Jupyter Notebook - Size: 8.01 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

ozgeegorucu/Customer-Segmentation

 The goal of segmenting customers is to decide how to relate to customers in each segment in order to maximize the value of each customer to the business. The purpose is to understand customer response to different offers in order to come up with better approaches to sending customers specific promotional deals.

Language: Jupyter Notebook - Size: 6.6 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0