Software Project Manager at Opus Match (2022-07 – 2023-11)
- Collaborated with Business Analysts and Developers to translate business requirements into detailed test cases and acceptance criteria for system and API integration testing.
- Worked closely with UI/UX Designers to define and validate user flows, interface behaviors, and usability criteria, ensuring a seamless experience across app and web platforms
- Designed and executed comprehensive User Acceptance Testing (UAT), smoke, regression, and compatibility test suites across multiple feature releases, ensuring functionality, usability, and data integrity before deployment, improving pre-deployment quality by 25%.
- Utilized Postman and SQL to validate data mappings, audit logs, and transaction-level accuracy, identifying and documenting integration issues between backend services.
- Performed cross-platform testing (iOS, Android, Web) including TestFlight validation for pre-release builds and UI/UX consistency checks across devices and browsers.
- Authored and reviewed test cases and client-facing UAT guides to enhance reproducibility, traceability, and stakeholder confidence.
- Managed the defect lifecycle in Jira, coordinating issue triage, prioritization, and verification during Agile sprints to maintain quality standards.
Analyst Intern at NBN Australia (2025-02 – 2025-06)
- Developed automated validation and testing routines to verify Wireshark session-based data accuracy in PostgreSQL using Airflow and Great Expectations, reducing manual QA time by 20%.
- Conducted A/B testing and applied statistical methods (t-tests, regression, hypothesis testing) to assess Generative AI's impact on user behavior and bandwidth usage, contributing test reports for data integrity and model performance.
- Aggregated and validated key network usage metrics with Python (pandas) to support BI reporting and large-scale traffic forecasting models.
- Ensured data reliability and trust with Great Expectations (schema, null, and format validations) integrated within the ELT workflow for automated data quality checks and pipeline monitoring.
Analyst Intern at EdgeRed (2025-07 – 2025-10)
- Built and tested Azure-based pipelines (FastAPI, Docker, Terraform), performing unit, integration, and API testing with Postman and Swagger UI, improving reliability and reducing defects in production.
- Automated schema and data integrity validations with Great Expectations as part of continuous integration workflows to ensure consistent and accurate data.
- Fine-tuned AI models and validated extracted data from Azure Content Understanding AI, applying functional and regression tests to ensure model consistency and data correctness.
- Documented test cases, test results, and defect reports, collaborating with engineers to resolve issues and maintain high-quality releases.
Analyst Intern at Tipaload (2025-12 – Present)
- Improved release stability by identifying and reporting 50+ functional and regression defects across iOS, Android, and Web platforms through structured end-to-end manual testing of core product workflows.
- Reduced production-blocking issues by ensuring 0 critical (S1) bugs prior to releases through systematic regression testing, payment validation (Stripe), and role-based access verification.
- Increased bug resolution efficiency by providing clear, reproducible defect reports in Jira, including steps to reproduce, expected vs actual results, and visual evidence, enabling faster turnaround from developers.
- Supported successful feature releases by collaborating with developers and product stakeholders during testing cycles, retesting fixes, and contributing to release readiness checks.
