Devi

Business-oriented Data Analyst with 2 years of experience in automotive analytics, specializing in data validation, reporting, and AI-assisted vehicle damage analysis. Proven expertise in leveraging Python, SQL, and Power BI to transform complex datasets into actionable business insights that drive operational efficiency and strategic decision-making. Passionate about solving business challenges through data exploration and delivering measurable results.

Data Analyst - Automotive Industry - Madurai, Tamil Nadu

(2024-06)

• Validated AI-generated vehicle damage predictions using pre-annotated datasets, ensuring 95%+ labeling accuracy and consistency across 5,000+ vehicle inspection records, reducing manual review time by 25%.
• Performed comprehensive quality assurance on image-based vehicle damage annotations through manual and automated data validation processes, identifying and correcting 20% of model misclassifications.
• Collaborated effectively with data science and annotation teams to flag discrepancies and improve annotation quality, resulting in 30% reduction in data correction cycles and enhanced model reliability for vehicle inspection tasks.
• Analyzed vehicle damage patterns and created detailed validation reports with actionable insights, contributing to 15% improvement in AI model performance and streamlined inspection workflows.

B.Sc. - Information Technology - Madurai Kamaraj University College (2024)