Vineeta A. Email & Phone Number

Bentonville, Arkansas, US

Salt Lake City, UT, US

Woodland Hills, CA, US

Woodland Hills, CA, US

• Built propensity model model to score the 11.4 million non-converted quotes and ranked them by likelihood to convert. Classified the quotes into 5 classes and provided the class 5 best scored quotes to agents. This is.
• Analyzed billing patterns of cross-sold customers and identify, quantify opportunities to improve customer experience.
• Extracted ~ 300 million auto and home data from IBM Db2 using SAS SQL, used AWS Athena to extract data
• Combined farmers home insurance data with vendor’s (aerial imagery) data using R to understand if dwelling features are a trigger for reinspection of houses. Pool data has a significant impact - 31% more pools.
• Added variable roof condition score from vendor data to the inspection model (logistic regression) and it added a lift to the current model, but the estimated ROI 1.32 suggests not adding the variable.
• Built an evaluation process for the entire process in R which could be automated for various vendors

GB

• Applied statistical techniques to analyze complex Real estate data sets and visualized using Tableau to identify patterns across various neighborhood. This helped in identifying buyers and sellers resulting in 15%.
• Used K-Means clustering to identify neighborhood grouped together based on various attributes
• Built predictive model using Linear Regression with MAPE of 22% in R to identify price of over 30000 properties in DC
• Used cross-validation to test the models and prevent overfitting. Applied statistical model evaluation techniques to evaluate the performance of predictive model for over 500,000 properties
• Designed web application using python and integrating with google sheets which reduced manual overhead by 50%
• Developed scripts in R to automate the process of model evaluation which reduced manual work by 30%

Wayne, Pennsylvania, US

• Used NLP technique term frequency inverse document frequency to optimize search for Radian’s glossary
• Analyzed and aligned documents coming from lenders with the ones generated by ECM team using MicroStrategy
• Investigated, normalized and identified Borrower’s addresses (match of 10%) across Mortgage Insurance and Title Insurance companies to identify potential to improve customers acquisition
• Used SQL Server to extract large volumes of data from flat files and excel files

• Investigated and designed the printing mechanism of EHANDBOOK navigator using XSL-FO converter in Java. This could print large documents with no loss of content. This raised the client’s profits within the first three.
• Analyzed the requirements and created dashboards that showed defects to developers and provided quality status to stakeholders, leading to a 70% product quality improvement
• Visited Germany to understand the stakeholder requirements. Proposed, designed and implemented the enhancements improving the product sales and acquiring new customer like Hyundai for the company

Bangalore, Karnataka, IN

• As a lead developer for Loans module of FINACLE system, analyzed and implemented the requirements from banks like DBS, ANZ
• Initiated and developed a tool to capture defects of the code written for functionality of various modules of FINACLE
• Mentored and guided the team members in learning different technologies and in fixing issues raised by customers

• Built an automation tool to analyze and identify all inter-communication links for different modules, enhancing modularity and scalability of the product
• Implemented SQL queries to extract data from various sources using SQL server

Master Of Science - Ms, Business Analytics

Bachelor Of Technology (B.Tech.), Electronics And Telecommunication