Customer Churn Analysis in Power BI
An end-to-end Power BI customer churn analysis that transforms telecom data into actionable insights for improving retention and reducing churn.
Customer Churn Analysis in Power BI
Hospital Transaction Analysis
A concise, interactive analysis of hospital transaction data using Power BI. The project cleans, models and visualizes revenue, expenses, profits and key metrics to reveal trends, top-performing specialties and actionable insights for data-driven decision making.
Customer Churn Analysis With Excel
A comprehensive Excel-based churn analysis exploring customer behavior, churn drivers, demographic patterns, and competitor impacts. Includes cleaned datasets, pivot tables, and a dashboard to support data-driven retention strategies.
Bank Customer Segmentation
Unsupervised customer segmentation project to identify high-impact customer groups and support targeted banking strategies like loyalty programs, retention, and personalized offers.
Bank Customer Segmentation - The Sequel
Location-specific insights to design tailored banking strategies that go beyond the one-size-fits-all.
Credit Scoring Model
A credit scoring model to predict loan default risk using machine learning. It is designed to support smarter lending decisions and reduce losses from high-risk loan approvals.
Startup Success Prediction
A model that predicts startup success from data on early-stage investments in the Crunchbase database.
MNIST Digit Classifier
A simple Streamlit app that lets you draw digits (0–9) and predicts them using a deep learning model trained on the MNIST dataset.
Data Exploration in SQL
Data exploration of Covid-19 dataset in SQL Server Management Studio.
Data Cleaning in SQL
This project is about cleaning the Nashville Housing Data using queries such as CONVERT, SUBSTRINGS, PARSENAME, CTE, and PARTITION BY.
Bike Sales Analysis
An analysis of bike sales data using Excel to identify trends in customer behavior, product performance, and revenue growth through data cleaning, visualization, and exploratory analysis techniques.
