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🔴 Predicting Insurance Claim Amounts 🔴 This project analyzes the Medical Cost Personal Insurance Dataset to understand key factors influencing healthcare expenses. Through data cleaning, visualization, and feature engineering, important patterns in age, BMI, smoking, and region were uncovered.
The following insights are expected from this project. 1. Department wise performances 2. Top 3 Important Factors effecting employee performance 3. A trained model which can predict the employee performance based on factors as inputs. This will be used to hire employees 4. Recommendations to improve the employee performance based on insights from C
This is a capstone project for the course of Business Analytics and Business Data Management at IIT Madras. The project involves analyzing sales data of Uttam Supermarket in Indore, which has 5 franchises, collected over a year. The analysis includes store-wise and monthly sales, the effect of holidays on sales, and weekly sales analysis.
The data that is generated from the survey undertaken by WHO(Kaggle is the datasource) is analysized to draw insights and conclusions from it. MongoDB is used in the backend interacting with python in the front end.