August 2021

Bike Sharing project

A Linear Regression model was built to predict the demand for shared bikes with the available independent variables.

​

This model can be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels and meet the customer's expectations.

​

Further, the model will be a good way for management to understand the demand dynamics of a new market. 

Skills and Tools

Linear Regression, Model Evaluation, Model Tuning, Exploratory Data Analysis, Predictive Analysis, Python

July 2021

Insurance Claim

Prediction project

A Linear Regression model was built to predict the cost of insurance claims with the help of user information such as Age, Gender, BMI, Blood Pressure, Health Conditions, and historical Insurance Claim Details.

​

An insurance company can use this model to eliminate the chances of loss-making deals and target the segment of customers who would not claim the insurance more frequently.

​

Further, the model will be a good way for management to understand the demand dynamics of a new market.

Skills and Tools

Linear Regression, Model Evaluation, Model Tuning, Exploratory Data Analysis, Predictive Analysis, Python

June 2021

Bank Loan Default

Analysis project

With this case study, I examined the strong driving factors behind loan defaults. This will ensure that the consumers capable of repaying the loan are not rejected, and certain adaptable actions can be taken on a client basis if they are likely to face difficulty paying their installments in the future.
This can further influence the decisions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, collateral, etc.
 

The company may utilize this knowledge for its portfolio and risk assessment.

Skills and Tools

Domain Understanding, Exploratory Data Analysis, Data Visualization, Univariate and Multivariate Analysis, Diagnosis Analysis, Descriptive Analysis, Python

June 2021

Titanic Dataset

Exploratory Project

In this Volunteer project, I did conduct exploratory data analysis to better understand the Titanic dataset (from Kaggle).

​

In this EDA, I used various plotting techniques like Matplotlib and Seaborn to understand the data and explore it through visualization.

​

I used these python libraries to understand the data and inter-dependency between variables.

Further, this same data will be used to create a machine learning model to do the predictive analysis on the survival of the passenger.

Skills and Tools

Exploratory Data Analysis, Kaggle, Data Visualization, Python