Case Study: EDA

Exploratory Data Analysis (EDA) based on Historical Public Dataset.

Case Study: Tableau

A Health Company's data analysis. The management wants to understand factors to curb attrition and predict employment numbers in 2020.

TABLEAU FINDINGS

• HR Department had the lowest salary hike.
• Job Satisfaction for employees above LVL3 is low.
• Performance to Income ratio was uneven.
• Experience to Income ratio was unevenly distributed.

Linear Regression Model: Profit Forecasting

A Linear Regression Model used to forecast the Profit of a Retailer utilizing historical sales data ranging from 2014 to 2017 and predicting until 2020.

Random Forest Regressor: Insurance Claim Prediction

A Random Forest Regressor Model compared against Gradient Booster in order to make Claim Predictions using data ranging from 1990 to 2015.
Training data shape: (800, 7)
Mean Squared Error: 247824244.66375
R-squared: 0.6276132188623238