Risk Factor of Cervical Cancer analysis

In this project, we employ machine learning to analyze the risk factors associated with cervical cancer. By studying a wide range of factors such as HPV infections, age, lifestyle choices, and genetic traits, we aim to uncover patterns that can help predict who is more likely to develop this cancer.

Churn Prediction for Bank Customers

This Python project uses customer data and machine learning to predict which bank customers are likely to leave (churn). By analyzing factors like transaction history, customer demographics, and behavior, we build a predictive model to identify at-risk customers. This helps the bank proactively take

Sample Superstore Profit, Sales report

Our Power BI project creates an easy-to-understand report for a superstore's sales and profits. With colorful charts and graphs, it shows which products make the most money and how different regions are doing. This helps the store make smarter decisions to make more profit and keep customers happy.

Ecommerce Sales Report

The eCommerce Sales Dataset Dashboard on Power BI provides a dynamic visual overview of key sales metrics and trends. It offers real-time insights into revenue, product performance, customer behavior, and order fulfillment. Users can easily track sales growth, identify top-selling products, monitor

Mutual fund analysis

we're using Python and Power BI to study mutual funds in 2023. We want to see how well these funds performed over the past 1 year, 3 years, and 5 years. We're also looking at how risky they are. This analysis helps people decide which mutual funds might be a good fit for their investment.

INDIAN RESTO 2023

The Indian Restaurant 2023 Power BI dashboard provides real-time insights into key performance metrics, including sales, customer satisfaction, inventory levels, and popular dishes.