Healthcare Project:

CMS rates hospitals in the US on a scale of 1-5, to make it easier for patients to compare the quality of services offered by hospitals.Project  focuses on developing an approach to calculate hospital ratings and identify areas of improvement for certain hospitals.

Environment:: Python,Jupyter,Tableau,Microsoft Excel

Modeling techniques: Random Forest,Linear Regression,K-Means Clustering,Factor Analysis.

EDCA is a web based, data driven business critical application which supports multiple OSS products and portfolios which involves the sales and configuration teams placing the customer orders comprising of customer site access device.

Environment:.NET, IIS,Oracle 10g, Business objects Crystal Reports V11.1

Responsibilities:  1.Preparation and execution of test cases and test plan.

                            2. Analyzing the data and verifying the data quality.

Buy Online is an online application for provision of the customers to buy the various AMEX gift cards and gift checks & travelers’ checks online.

Environment: Java, J2EE, Oracle

Responsibilities:  1.Design and development of various modules

                            2. Preparation and execution of test cases, test data and guiding the team.

                            3. Data driven testing using SQL.

NEO is one of the systems used in the automation of the service delivery processes like L2C and T2R for the solutions like Ethernet, broadband etc.

Environment: Clarify, Java, J2EE, Oracle

Responsibilities:  1.Leading the testing team.

                            2. Manual testing and automation of the T2R testing flow using Jameleon.

                           3. Analyzing the data and verifying the data quality.

GNMS is a versatile web-based network management system.

Evironment: Java, J2EE, Oracle

Responsibilities:  1. Preparation and execution of test cases and test plans.

                           2. Data driven testing using SQL.

Finding interesting insights into a few movies released between 1916 and 2016, using Python

Stock market analysis of two of India's biggest stock exchanges BSE and NS

Spark Funds wants to make investments in a few companies. The CEO of Spark Funds wants to understand the global trends in investments so that she can take the investment decisions effectively.

The aim of analysis is to identify the root cause of the problem (i.e. cancellation and non-availability of cars) and recommend ways to improve the situation. 

Consumer finance company specialises in lending various types of loans to urban customers. When the company receives a loan application, the company has to make a decision for loan approval based on the applicant’s profile.

The aim is to identify patterns which indicate if a person is likely to default, which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc.

Chinese automobile company Geely Auto wants to understand the factors on which the pricing of cars depends in the American market

HELP International is an international humanitarian NGO that is committed to fighting poverty and providing the people of backward countries with basic amenities and relief during the time of disasters and natural calamities.

The objective is to cluster the countries by the factors mentioned and provide solution and recommendations.

An education company named X Education sells online courses to industry professionals. Build a logistic regression model to assign a lead score to each of the leads which can be used by the company to target potential leads.

The US-based housing company named Surprise Housing wants to enter the Australian market.The objective is to model the price of houses with the available independent variables to be used by the management to understand how exactly the prices vary with the variables. So that they can accordingly manipulate the strategy of the firm and concentrate on areas that will yield high returns

Develop a model using Support Vector Machine which should correctly classify the handwritten digits from 0-9 based on the pixel values given as features. 

In the telecom industry, customers are able to choose from multiple service providers and actively switch from one operator to another. In this highly competitive market, the telecommunications industry experiences an average of 15-25% annual churn rate

The objective is to predict the churn in the last (i.e. the ninth) month using the data (features) from the first three months. 

The purpose is to get a better understanding of the taxi system so that the city of New York can improve the efficiency of in-city commutes.

New York City is a thriving metropolis. Just like most other metros its size, one of the biggest problems its citizens face is parking. The classic combination of a huge number of cars and cramped geography leads to a huge number of parking tickets.

The purpose of this case study is to conduct an exploratory data analysis that will help you understand the data. 

A care management organisation ,WeCare wants to identify among its diabetic patients, the ones that are at high risk of getting re-admitted to the hospital. They wish to intervene by providing some incentive to these patients that will help them improve their health.The objective is to identify high-risk diabetic patients through risk stratification. This will help the payer to decide what are the right intervention programs for these patients.