Karan Yadav

Designed and implemented a data processing pipeline for transforming psychometric datasets into structured image representations for analysis. Performed extensive data validation, quality checks and preprocessing to ensure accuracy and consistency across large datasets. Developed CNN and Self-Attention CNN models achieving 95.25% accuracy and 98.13% ROC-AUC.

Research Intern - National Institute of Technology Tiruchirappalli - Trichy, India

(2025-05 - 2025-07)

• Designed and implemented a data processing pipeline for transforming psychometric datasets into structured image representations for analysis.
• Performed extensive data validation, quality checks and preprocessing to ensure accuracy and consistency across large datasets.
• Developed CNN and Self-Attention CNN models achieving 95.25% accuracy and 98.13% ROC-AUC.
• Documented experimental procedures, analysis results and model evaluation metrics to support research outcomes.
• Applied analytical and problem-solving techniques to identify performance bottlenecks and improve model robustness.

B.Tech - Computer Science and Engineering - National Institute of Technology Tiruchirappalli (2022-11 - 2026-05)

Class XII - Noida International Public School (2022)

Class X - Noida International Public School (2020)