🎯 Transitioning into Manual QA & Data QA
I have 5 years of experience in Transfer Pricing consulting at KPMG Vietnam and am now transitioning into Manual QA and Data QA, leveraging my background in data analysis, validation, and business process documentation.
My background includes analyzing large datasets, validating financial information, documenting business processes, and identifying data inconsistencies. I'm now applying those analytical and problem-solving skills to Manual QA and Data QA.
- Functional Testing
- Positive & Negative Testing
- Exploratory Testing
- Test Scenario Design
- Test Case Design & Execution
- Defect Identification & Reporting
- Severity Assessment
- Evidence Collection
- Postman
- REST API Testing
- HTTP Methods
- Status Code Validation
- Request & Response Validation
- Positive & Negative API Testing
- JSON Response Validation
- SQL
- Google BigQuery
- Data Validation
- Data Quality Testing
- NULL & Duplicate Checks
- Business Rule Validation
- Aggregate & Reconciliation Checks
- Jira
- Postman
- Google BigQuery
- Git
- GitHub
- VS Code
- Microsoft Excel
Manual functional and exploratory testing project for an e-commerce web application.
Highlights:
- Designed and executed 42 manual test cases
- Tested Login, Products, Cart, Checkout, and Menu/Logout modules
- Performed positive, negative, functional, validation, and exploratory testing
- Documented 6 defects with detailed bug reports
- Collected supporting defect evidence
- Used Jira for defect tracking
- Achieved 41 PASS / 1 FAIL during functional test execution
Skills: Manual Testing · Test Cases · Exploratory Testing · Bug Reporting · Jira · Git/GitHub
View SauceDemo Web Testing Project
Manual REST API testing project using Postman.
Highlights:
- Created and executed API test scenarios
- Validated HTTP methods and status codes
- Tested request and response behavior
- Performed positive and negative API testing
- Validated JSON responses
- Documented API testing results and defects
Skills: Postman · REST API · API Testing · JSON · HTTP · Negative Testing
SQL-based data quality testing project using Google BigQuery.
Highlights:
- Performed SQL-based data validation
- Checked NULL values and duplicate records
- Validated business rules
- Performed aggregate and reconciliation checks
- Investigated data quality issues using SQL queries
- Documented data QA findings
Skills: SQL · Google BigQuery · Data Validation · Data Quality · Data QA
View E-commerce Data QA Project
Transfer Pricing Consultant (5 years)
- Financial data analysis
- Data validation
- Business rule verification
- Documentation and reporting
- Root cause analysis
- Cross-functional collaboration
- GitHub: thaonguyenqt98-ship-it
- LinkedIn: https://www.linkedin.com/in/nguyen-phan-093b1b213/