Find community/segment in an attributed graph of Facebook data.

Electric Vehicle Market Segmentation Analysis in India

Big Data Analytics [BDA] Mini Project

Unsupervised learning for market segmentation

Identify commercial centers using Points of Interest (POI) data by clustering these points into commercial centers/markets

Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA

A customer segmentation project.

Implementation of a d3.js Visual Analytics dashboard for Sales Analysis and Customer Segmentation in Retail

This repository contains the market cluster analysis performed on the Philippine's demographic data using JMP by SAS.

Unsupervised Learning Projects – Research-oriented Python portfolio exploring clustering, customer segmentation, pattern discovery, and evaluation on real-world datasets using KMeans, DBSCAN, Agglomerative, and divisive methods.

Bayesian Market Segmentation Algorithm for Hedonic Analysis

Clustering the Mall customers to analyze the different market segments of the Mall

The food aggregator company has stored the data of the different orders made by the registered customers in their online portal. Identify areas of growth and improvement for a better customer experience.

Customers RFM Clustering (Market Segmentation based on Behavioral Approach)

Market Segmentation Case Study Analysis using Clustering

Notebook to Perform Market Segmentation using K-means clustering, PCA, and Auto-encoders.

The beverage choice that accompanies most American pastime is divided between 🍺 Beer and 🥤 Soda. A market segmentation is performed to study this division - brands, demographic, profit - with the goal of target marketing.

No description provided.

Unsupervised clustering analysis of vehicle specifications using Hierarchical and K-Means methods (educational dataset).

A machine learning project to replicate a market segmentation case study on McDonald's customers using clustering techniques, powered by Python and scikit-learn.

A web server that switches the functionality of an automated time factored publishing of news and prices to Campaign Treasurer Web App based on a preset updates.

- Using data crawler, data virtualization, public opinion detection, etc to make NEPV & Tesla business report

No description provided.

In this project, the objective is to segment a portfolio of credit card users according to usage characteristics. Customer segmentation is then used by marketing department to tailor products and services specific to these customer segments.

This project was developed during a 3-month internship program at Feynn Labs. The project replicates a McDonald's case study using Python. It involves data analysis, PCA for dimensionality reduction, KMeans clustering, segment profiling, and decision tree classification for marketing segmentation,

January 2024 - March 2024

Customers RFM Clustering (Market Segmentation based on Behavioral Approach)

🚗 EV Market & Booking Segmentation – India 2025 A data-driven analysis of India’s Electric Vehicle ecosystem and online ride-booking trends. This project leverages EV sales data, public charging infra, and simulated ride demand to identify optimal market segments for launching EV-based solutions like rentals, shared rides, and delivery fleets.

I use R to identify and visualize target audience clusters for a shopping mall based on data collected about their shopping habits and preferences, and provide insightful business recommendations to tailor to the different needs of different consumer groups

Advanced SQL analytics project demonstrating CTE layering, window functions, percentile modeling, and structured data transformations.