Data Science Claim Analyst with 2 years of experience utilizing advanced Excel functions, data visualization tools, and claims management software to enhance accuracy, streamline operations, and improve customer satisfaction. Key achievement: Analyzed claims data to identify fraudulent patterns, preventing $1.55M+ in fraudulent claims payouts.
Overview
15
15
years of professional experience
Work History
Data Science Analyst
John Deere
10.2021 - 03.2023
Streamlined claim processing procedures using advanced data analytics, reducing processing time by30% and resulting in a customer satisfaction increase of15%
Orchestrated a cross-departmental team to integrate new, cost-effective fraud detection methods, reducing fraudulent claims by25%
Pioneered the use of a predictive modeling tool using linear regression and gradient boosting that accurately forecasted claim costs, leading to a more efficient reserve setting and an annual cost savings of10%
Negotiated successful settlements on high-value claims averaging $500,000, ensuring both client satisfaction and company profitability
Built gradient boosting model for classifying policies that has claims which aimed to be fraud based on certain parameters to other policies
Implemented a customer feedback loop that improved claims handling practices and enhanced service delivery, directly contributing to a20% reduction in complaints
Collaborated with senior adjusters to expedite claim resolutions, achieving a team goal of settling80% of claims within30 days
Reviewed and processed over500 claims annually, maintaining accuracy and compliance with industry regulations and company policies
Participated in a workshop series on customer relations, which later helped improve the claims team’s customer service ratings by5%
Applied natural language processing techniques to analyze unstructured text data, uncovering valuable insights from customer feedback.
Works with business leads to transform and develop new requirements for commercial cards with interest free and payment functionality
Creates training materials and documentation for new users on detecting fraudulent authorization based on Business requirements for limiting authorization in certain countries and limited transactions per day for commercial and personal accounts
Maintained a high level of situational awareness regarding all activities relevant to meeting project schedules, SLAs, and providing regular status updates to management and relevant stakeholders
Worked on functional analysis in TS2 for preventing fraud authorization based on different use cases from Card guard system to send accounts to collections
Worked on declining decision for fraud authorization coming from TS2 going through ADS II filters criteria and verify that authorization is flagged in decline reason in TS2 green screen
Verify that the authorization is posted either through simulator or green screen shows the status message “T” from tandem for approval and decline
Worked on developing functional specifications on authorized and co-application user credit limit specifications for posting transaction on TS2 systems
Worked on decision hierarchy for the authorization meeting criteria for ADS I and ADS II filters and verify the appropriate transaction is flagged for appropriate decline reason
Worked on designing Test scenarios, test cases and export them to ALM to keep track for progress
Update PROCS, JCL, Control Cards, Job Doc, and Other support documents, to incorporate the updated changes
Prioritizing of Production fixes/user requests and solving requests by fixing the code and analyzing the job flow on Control-M
Worked on minimum monthly payment calculations using TS2 before and after the payment transaction and verify re-payment calculation is adjusted post the payment
Worked on keyword- driven framework automation framework for testing the application and automate multiple test cases parallelly using Eclipse IDE
Worked on traceability matrix to cover the functional requirement for the test scripts and verified in Quality center
Worked on Testng framework for automating the regression test cases for different functionality
Involved in integration testing of different components of the credit card process from authorization, clearing to settlement
Create and manage defects within ALM and took responsibility to maintain and keep track of those defects
Took initiative to conduct meetings with developers to understand the status of those defects and keep track of functional changes
Involved in Agile meetings such as stand-up,scrum meetings and retrospective to discuss impediments
Performed writing scripts for selenium web driver automation for various web UI using Java
Developed Testng framework using selenium to perform automation of multiple test cases and validated those test cases in ALM
Automate web pages using selenium web driver using data driven framework
Automate mainframe applications using QTP for functional testing for regression
Software Engineer (VISION PLUS CONSULTANT) Credit card Payment
Attra Infotech Private Limited
Bengaluru, Karnataka, India
06.2008 - 10.2009
Worked in functional analysis, establishing business rules and process flows, design configuration setups and validations
Worked on payment functionality for both Master and Visa cards using the CMS and FAS module in Vision PLUS application
Worked on payment posted on Master plan level and credit card segment to cover entire functionality
Worked on loan processing for customer with loan profiles using VISION PLUS
Worked on maintaining various jobs in mainframe using FILE-AID in TSO/ISPF environment
Able to participate in a team environment and communicate effectively
Worked on loan application for different customers and verified in CMS application for different loans transactions
Prepared test Metrics Reporting and tracking of defects using defect management tool using HP ALM