Customer Segmentation Using EDA, RFM Analysis, and KMeans Clustering.

Explored customer data to identify patterns, then used RFM and clustering to group customers into different segments. The result? Clear insights that can help businesses tailor their marketing strategies, improve retention, connect better with customers, and keep them coming back.

Customer Segmentation and Sales Performance Analysis

Analyzed sales data to segment customers using RFM analysis and built interactive Power BI dashboards. Delivered clear insights into customer behavior, sales trends, and top markets to guide targeted marketing and boost revenue.

Credit Card Fraud Prediction System

This project aims to develop a machine learning model for detecting fraudulent credit card transactions. The goal is to predict the likelihood of a transaction being fraudulent or legitimate, thereby reducing financial losses due to fraud and improving overall transaction security.

Coca Cola Product Analysis

This Power BI dashboard project explores beverage product performance in 2022, with a special focus on Diet Coke. The goal was to understand sales trends, regional performance, and product growth using a clean, interactive, and storytelling approach.

Global Retail Superstore Analysis

The Global Retail Superstore Analysis provides an in-depth review of sales, profitability, regional contributions, and product category performance, offering a comprehensive snapshot of how this segment of the business is performing between 2011 - 2014.

Loan Risk Analysis

This project focuses specifically on evaluating the risk of loan defaults. It explores the key factors influencing loan defaults using historical lending data. The goal was to help financial institutions make informed lending decisions by identifying high-risk applicants early.

Ecommerce Sales Data Analysis

This analysis entails a detailed exploratory data investigation of an e-commerce sales dataset, aimed at revealing critical findings and trends to inform strategic business decisions

Water Survey Analysis: Power BI Insights

Leveraged Power BI to analyze how clean water access is improving across 5 provinces. It highlights the no. of people served, types of water sources used, and where resources are being invested. With clear visuals and key metrics, it offers a snapshot of progress and areas that still needs attention

Water Infrastructure Budget Tracker using Informational Dashboard

Dashboard designed to monitor the progress and spending of a water infrastructure project across provinces. It tracks key metrics like budget usage, completion rate, and number of citizens reached, supporting efficient decision-making and impact assessment from Dec 2022 to to Apr 2026.

Student Mental Health Analysis

This project examines the prevalence of mental health conditions among university students. Key factors such as CGPA, gender, marital status and year of study were analyzed using Excel to identify trends. The findings highlight the importance of mental health awareness and support for students.

Clean Data Hub

In the project, we showcased our data preprocessing expertise, transforming raw data into clean, consistent, and reliable datasets ready for analysis, visualization, and modeling. It demonstrates the ability to ensure data quality and prepare datasets for insights and decision-making.

Automobile Sales Dashboard using MS Excel

Conducted comprehensive EDA and RFM analysis on automobile sales data, generating interactive visualizations that uncovered key trends, patterns, and insights into sales performance, customer purchasing habits, product line performance, and other vital aspects, enabling informed business strategies.