URMILA KUMARI

Dynamic Test Lead at Accenture with expertise in test automation and team leadership. Proven track record in enhancing software quality through effective regression testing and API validation. Skilled in Python and AWS, I excel in delivering high-impact results while fostering collaboration among cross-functional teams. Committed to driving project success and continuous improvement.

Triggers Name Screening/CDD

NAB Fincrime

• Enacted ST testing for name screening and CDD screening for customer data
• Tested and validated various scenarios such as name, date of birth, address, nature of business, and triggering an event based on certain conditions for different types of customers
• Generated test data and stored them in down stream
• Reading data from parquet files available on S3 buckets
• publishing data into parquet files to AWS S3 buckets after processing the logic
• Performing execution using PySpark framework along with Python to read test data and apply logic to the filtered data
• Publishing messages to Kafka topics and retrieving them back from the outcome topic to authenticate the triggered event, verifying data storage through downstream DB via DBeaver using SQL queries
• Supporting BA to finish UAT testing for the project before release

TCRA (Transactional Customer Risk Assessment)

NAB FinCrime

• Analyzing requirements and requesting test data from downstream accordingly
• Reading test data from S3 bucket and modifying it according to specific scenario requirements using EMR PySpark notebooks
• Applying logic for assessing customers based on certain risk factors like country of residence, country of incorporation, occupation, and SMR
• Deploying the test data into S3 bucket and storing it to SAS downstream
• Validating in SAS downstream if stored data is updated with the latest risk assessment

NabOne Transaction Accounts

 NAB EBPO

• Creating customer profiles using NabOne UI
• Applying for various transaction accounts like savings, credit, and generating outcomes based on applications, performing ST testing for some specific changes in requirements for customer applications
• Regression testing to ensure changes have not affected any other applications

 NEL (NAB Equity and Lending) Loan

 NAB EBPO

• Submitting equity and lending loan applications for individual customers and organizational customers (sole traders, companies, trusts)
• Test data generation via Postman APIs for SIT testing respective to scenario requirements
• Generating scripts and executing test cases via Postman and automated execution via IntelliJ IDE
• Validating and verifying loan application outcomes, using CCOM downstream service to send messages of the outcome to customers, sustaining customer applications in PEGA system to perform the final step of validation to generate documents and send them to the bank department based on alerts generated
• Performing regression suite to ensure there is no effect on other applications on the platform

Available on Request