Vikas Shetkar Email & Phone Number

Atlanta, GA, US

Atlanta, Georgia, US

Wearing the risk and product hat and learning the art of personal lending.

New York, New York, US

Interacted with Partners to understand business requirements and built executive level dashboards. Built multiple KPI reports which needed a lot of descriptive and predictive analytics expertise.Understood the nuances of Consumer Credit card business and the key performance indicators in this domain.Worked closely with marketing team to design campaign.

Cary, NC, US

• Text Analytics Solutions-Information Retrieval Studio:
• Validate Statistical features of IRSTUDIO and test the accuracy of statistical algorithms of the product.
• Collected unstructured data (Text/Numerical) from web and social media sites then manipulated into meaningful data by parsing the text and the numbers associated and indexed the data for the clients to query.
• Built document processors inside IRSTUDIO to extract information from Amazon and Overstock websites and create a report to compare their prices and the discounts offered.
• Programmed in SAS using basic data steps, SAS Procs (SQL, Summary, Parse, and Print) and Macros to create and maintain complex macros and Procs that are used underneath the product.
• Analyzed and extracted user feedback about Banks, consumer websites and other financial institutions to create a report allowing customers to search for any specific information or topics.

Stillwater, OK, US

• Developed and maintained database using SQL Server 2005 for almost 100 online courses. This includes information on faculty recording, course development, faculty payment, distance learning students and more.
• Produced systems design, I/O designs and handled system construction and implementation issues.
• Documented quality assurance by providing test cases, test data, test results and also provided user manuals.
• Created statistical model to analyze student feedback and predicted variables affecting our relation with them.

• Data Mining Course Project (Propensity Modeling, Finance Sector) – Predict Income Annuity Customers
• Implemented CRISP-DM Standards and cleansed the data to come up with key factors for annuity model.
• Used various Procs like SQL, Univariate, Summary, Means, Transpose and Sort to extract meaningful data.
• Built Regression, Decision Trees, Neural Networks, Cluster Analysis and Principal Component Models to implement the best model to score the annuity data and identify potential customers.

Masters, Management Information Systems

Btech, Computer Science And Information Technology