Found 19 repositories(showing 19)
nainesh2111
End-to-end Retail Analytics Internship Project involving database design, SQL data processing, analytical modeling, visualization, and business insights development across multiple weekly deliverables using the Consumer360 retail dataset.
t-tanushree
Retail Analytics project using Python, SQL and Power BI
JaimilDobariya483
End-to-end Retail Analytics project implementing RFM segmentation, Cohort Retention Analysis, Market Basket Analysis, Oracle SQL queries, and Power BI dashboard integration.
varshil1512-beep
Consumer360 is an internship-level data analytics project designed to analyze customer data and generate meaningful business insights using structured data and analytical techniques. The primary objective of this project is to build a strong analytics foundation that helps organizations better understand customer behavior
surajtechx
No description available
Venkatesh-2002-max
No description available
devsuthar-ai-ml
Production-ready Retail Analytics platform (Consumer360) with RFM segmentation, CLV prediction, cohort retention, market basket analysis, advanced React dashboard, and FastAPI service.
Hemashree2003
No description available
datadev-irfan
👉 End-to-end Customer Segmentation, CLV & Analytics Pipeline
Jyothijyo2945
End-to-end retail analytics project using SQL, Python, and Power BI for customer segmentation, RFM analysis, and churn detection.
Cheatcode7
End-to-end retail analytics project with RFM, Cohort Analysis, Market Basket Analysis & Power BI
OmkarPanchal06
Enterprise Customer Segmentation & Lifetime Value Engine
Subhadharshini08
Customer Segmentation & CLV Engine
AbhilipsaPati0
No description available
chiragchavda05-data
Consumer360 is a retail analytics project designed to help e-commerce businesses identify high-value customers, detect churn risks, and understand customer buying behavior using structured data and analytics.
Consumer360 is an end-to-end retail analytics project designed to analyze customer behavior, identify high-value segments, and detect churn risk using RFM analysis. The project integrates SQL, Python, and Power BI with automation to deliver actionable business insights.
No description available
arfanayeem7-prog
The Consumer360 project is a retail analytics engine designed to identify "Whales" and churn risks through an automated RFM framework. It utilizes a stack of SQL, Python, and Power BI to deliver deep intelligence like Cohort Analysis and Market Basket Analysis.
Retail Analytics: Customer Segmentation & Lifetime Value Engine (Consumer360) is a data-driven solution that uses RFM analysis, CLV prediction, and churn modeling to identify high-value and at-risk customers. It enables targeted marketing, improves retention, reduces churn, and optimizes revenue through actionable dashboards and business insights.
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