Work Experience

During my Data Analyst Co-op at the BC SPCA, I developed and automated end-to-end revenue analytics workflows using Python and SQL, significantly reducing manual reporting time while ensuring audit-ready data for financial forecasting and strategic planning. I built regression forecasting models in Scikit-Learn to predict future revenue trends and translated these insights into interactive Power BI dashboards, enabling clear visualization of financial performance and supporting data-driven decision-making across departments. Collaborating closely with the Finance and Data Assets teams, I optimized data imports from Raiser’s Edge, resolved inconsistencies in legacy systems, and implemented structured data quality monitoring. This experience strengthened my ability to bridge technical analytics with operational finance, delivering solutions that enhanced reporting efficiency, accuracy, and long-term organizational alignment.

As a QA Analyst Intern at Hexagon Private Limited, I contributed to improving product reliability and workflow efficiency by expanding automated validation coverage across multiple web-based systems. I designed and executed test cases to verify data accuracy, user authentication, and navigation performance, increasing automation coverage by 30% and ensuring consistent functionality across environments. To enhance development efficiency, I integrated automated test suites with GitHub Actions CI/CD pipelines, enabling continuous verification and rapid feedback within the agile development cycle. Additionally, I generated structured HTML reports containing logs, charts, and diagnostic insights that improved testing transparency and facilitated collaboration between QA and engineering teams. This experience strengthened my understanding of software quality assurance, data integrity validation, and continuous integration workflows within large-scale analytical systems.