This project performs customer segmentation using Recency, Frequency, and Monetary (RFM) metrics to identify key customer groups and provide actionable marketing insights.
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Updated
Sep 24, 2025 - Jupyter Notebook
This project performs customer segmentation using Recency, Frequency, and Monetary (RFM) metrics to identify key customer groups and provide actionable marketing insights.
Full-cycle analysis of the Brazilian Olist E-Commerce dataset. Includes data cleaning, EDA, customer segmentation, and actionable business insights with visualizations.
A collection of web development tasks completed during my internship at Elevvo. This repository showcases various projects and learning milestones achieved throughout the internship program.
Exploratory Data Analysis on the Titanic dataset – part of my Elevvo Internship (Data Analytics Track)
Time Series Analysis of Walmart Retail Sales – Internship project analyzing sales trends, seasonal patterns, and revenue breakdowns using Pandas, Matplotlib, and Seaborn.
A set of projects made as a part of the front-end elevvo internship program
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