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About Me
I have 6+ years of experience in IT. I am currently pursuing my M.Sc in Data Science. I have recently completed my PG Diploma in Data Science from IIIT Bangalore. I am well versed in the concepts of Data Science ...
You can click the below link to have a look at my work.
https://github.com/SushmaSubburayan
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Skills
Portfolio Projects
Description
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.
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Consumer finance companyspecialises in lending various types of loans tourban 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.
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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.
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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.
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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.
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The US-based housing company named Surprise Housing wantsto enter the Australian market.The objective is to model the price of houses with the available independent variables tobe 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 yieldhigh returns
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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.
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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
Theobjectiveis to predict the churn in the last (i.e. the ninth) month using the data (features) from the first three months.
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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 andcramped geography leads to a huge number of parking tickets.
The purpose of this case study is to conductan exploratory data analysis that will helpyouunderstand the data.
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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.
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