Shijin K Sam

Thesis Project: Developed a machine learning framework to predict and classify football player market values using regression, Random Forest, Gradient Boosting, and ensemble models; achieved up to 99% classification accuracy and integrated SHAP for interpretability.
Process Automation: Automated regression test data validation at Accenture using Python &amp; SQL, reducing manual effort by 30% .
Data Visualization: Designed dashboards and defect trend reports, improving quality insights and reducing defect recurrence by 15% .

Accenture

10.2022 - 07.2024

Experience

Quality Engineering Associate.|Accenture, Mumbai/Bangalore, Oct 2022 – Jul 2024

Executed complex SQL queries to validate and clean large datasets across multiple environments, ensuring the accuracy of regression test cases, and reducing data inconsistencies by 20%.
Automated data validation pipelines using Python and Selenium, cutting manual test effort by 30%, and improving the efficiency of regression cycles.
Designed and maintained interactive dashboards in Excel/Power BI to track test coverage, defect leakage, and performance KPIs, enabling data-driven decision-making by managers.
Analyzed defect and incident data to identify recurring patterns; recommended corrective actions that reduced defect recurrence by 15%, and improved release quality.
Conducted root cause analysis (RCA) on production issues, preparing reports with insights to guide preventive measures.
Collaborated with cross-functional Agile teams (developers, testers, analysts) to deliver high-quality product releases on schedule.
Supported UAT (User Acceptance Testing) phases by providing test data, monitoring execution, and resolving data-related defects.
Documented workflows, prepared client-facing reports, and contributed to knowledge-sharing sessions for new team members.

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