RAMYA RAVI

• Client : CUBE (BNP PARIBAS)

Duration May 2023 – Till Now

Team Wealth Management – Client Marketing and Lifecycle

• Performed testing of the Front Office application focused on the client onboarding process, including key modules such as CRM (Client Relationship Management) and CLM (Client Lifecycle Management)
• The process involves onboarding a prospect—either an individual or an organization—by capturing client information, completing KYC (Know Your Customer) details, and scanning the prospect’s profile
• Following the successful onboarding and conversion of a prospect into a client, the recertification process is initiated for active clients
• Created successful test cases and performed execution of the banking applications using Postman Tool.
• Collaborated with users during User Acceptance Testing (UAT) and provided support in understanding the client's onboarding process.
• Collaborated with cross-functional teams to ensure seamless integration of system components during end-to-end testing.
• Reviewed all test cases and test scripts for quality and identified additional areas to review.
• Optimized test cases to maximize success of manual software testing.
• Identified bugs and issues within system and applied troubleshooting techniques for mitigation purposes.
• Worked closely with different departments to develop innovative solutions to functionality issues.
• Experience working in an Agile Model
• Worked on the API Automation using Postman tool

• Client : CANADIAN IMPERIAL BANK OF COMMERCE(Canada)
• Duration Jan 2022 – Oct 2022
• Team CIBC - Regular Release Team
• Created successful test cases and performed execution of the banking applications using Para soft SOA Tool.
• Validated the SOAP request and responses received against the requirements
• Documented current production methods to identify points of limitation to target for quantification through testing procedures.
• Reviewed all test cases and test scripts for quality and identified additional areas to review.
• Optimized test cases to maximize success of manual software testing.
• Assessed software bugs and compiled findings along with suggested resolutions for development team members.
• Fixed identified issues to improve workflows.
• Maintained accurate documentation of all testing activities, enabling efficient review of results by project stakeholders.
• Worked closely with different departments to develop innovative solutions to functionality issues.
• Experience working in an Agile Model

• Client : SHOPPERS DRUG MART – LOBLAW(Canada ) Duration Feb 2017 – Sep 2018

Team - SOA Team

• Created the Test data for interpreting the Positive/Negative flows for all Testing Cycles.
• Executed the Web service and API test cases using SOAP UI.
• Understood the critical areas of the application which identified major defects.
• Reported found issues and tracked them in the HPQC
• Played key role in Transition of DevTest Automation suite.
• Client : SHOPPERS DRUG MART - LOBLAW(Canada )

Duration Sep 2018 – Feb 2020

Team CMIM and GIFTCARD

• Able to understand the business process and Service testing execution was done using REST services in SOAP UI.
• Identified feasibility of the test cases to be automated using CA Devtest
• Automated web services using Devtest thereby minimized manual testing of web services.
• Developed DFA_Record validator tool using Robot Framework to validate each field from XML message against the DB record which made testing less time consuming and also very useful for mass payload testing.
• Client : SHOPPERS DRUG MART - LOBLAW(Canada )

Duration Mar 2020 – Dec 2021

Team Central Data Repository(CDR)

• Created automation framework to create test data using UFT.
• Validating the canonical, SOAP responses received in the central system (Middleware) of the pharmacy application
• Web services, REST/SOAP API and DB validations are automated based on the field mapping document for regression testing using CA DevTest.
• Functional Testing of Health watch Application and End to End flows are validated.
• Reported and tracked the identified defects in JIRA