🛍️ Analyze customer shopping behavior using SQL and Power BI to uncover insights, boost loyalty, and enhance revenue through data-driven decisions.

📊 Analyze customer segments using RFM modeling to boost retention and reduce churn with actionable insights and an interactive BI dashboard.

Environmental Sensors + GPS + SD Card + Radio

Olist e-commerce analytics with SQLite + Python: RFM segmentation, delivery bottlenecks, 80/20 categories.

Customer segmentation by using the RFM method and K-Means clustering

In this project, I've performed customer clustering based on the exhibited behaviour over an online retail store. In this project of mine, I've touched upon the granularity of the events as per the interest or effectiveness on the buyer-behaviour.holiday or celebratory event etc.

Exercise of RFM-based clustering and cart abandonment recovery scenario analysis based on eCommerce dataset available on Kaggle

Customer segmentation using RFM (Recency, Frequency, Monetary) analysis to identify key customer groups and improve marketing strategies.

Unsupervised learning model (K-Means) for customer segmentation using RFM analysis to drive targeted marketing campaigns.

🌊 Deep Sales Analysis of Olist E-Commerce: EDA | Time Series| Viz | RFM | NLP | Geospatial | Segmentation & Actionable Business Recommendations.

RFM

Customer segmentation using marketing data with EDA, RFM, PCA, and clustering (K-Means & Hierarchical).

Fast rainflow counting written in C (C99). Including wrappers for MATLAB and Python

Customer segmentation using RFM model and data visualization for business insights

Intermediate Certification Project – UK E-Commerce Analysis with RFM, MBA, Tableau

Beginner Certification Project – Olist E-Commerce Analysis with RFM, Pareto, and customer segmentation