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.

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.

End-to-end retail analytics: Azure Databricks + Power BI | Star schema, RFM segmentation, RLS

SQL-powered customer behavior analysis using Instacart’s market order dataset. Includes RFM segmentation, market basket analysis, and reorder pattern discovery.

RFM customer segmentation on 496 e-commerce orders (₹14.28 Cr revenue) to allocate a ₹15L Q3 re-engagement budget across 6 tiers. Python · Power BI · DAX. End-to-end portfolio project.

End-to-end sales analysis on a 640K+ row e-commerce dataset using MySQL

Production-grade analytics platform for a vehicle e-commerce marketplace. Airbyte → Snowflake (medallion) → dbt → Dagster → Elementary + Great Expectations → Power BI.

UK data analytics portfolio — Retail Deep Dive, AI Marketing Pipeline, and ROI Optimizer. Python, SQL, Power BI.

End-to-end data analysis (SQL, Python, Power BI) on AdventureWorks 2022 — sales, profitability, customer segmentation

Analyse de ventes retail multi-magasins en MySQL - segmentation RFM, churn, performance commerciale, 18 tests automatises

Brazilian E-Commerce Sales & Customer Behavior Analysis

Companies often struggle to answer key questions: Which products generate the most revenue? When do customers buy the most? Which customers are most valuable? Which customers are likely to stop buying? This analysis uses SQL to transform raw sales data into insights that support better strategy, marketing, and customer retention.

Dashboard built in streamlit for customer behaviour analysis, covering RFM, CLV and more

End-to-end e-commerce BI using SQL & Python: EDA, RFM customer segmentation & operational KPIs

Performing RFM customer segmentation and developing relevant marketing strategies for Flipkart using eCommerce data.

End-to-end SQL project analyzing e-commerce sales, product performance, and customer behavior

SaaS Product Analytics Portfolio: funnel, cohort retention, A/B testing, RFM segmentation · Python · Streamlit · Plotly

An end-to-end analysis of customer purchasing behavior

Explore Superstore sales data with MySQL database setup, data insertion, and cleaning. Perform EDA and RFM customer segmentation using Excel & SQL. #DataAnalysis #CustomerSegmentation #MySQL #EDA

Customer segmentation using RFM analysis and an interactive Streamlit dashboard built with Python and Pandas