MANJUSHA ADDAGADA

Self-motivated and detail-oriented Computer Science graduate specializing in AI & ML, with strong knowledge of Python, Java, SQL and familiar with deep learning & CNN .Skilled in problem-solving, adaptable to new technologies, and eager to contribute to innovative projects while enhancing technical expertise.

• ORACLE: Generative AI Professional certification
• Coursera Certifications, Accenture certifications
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• EFFECTIVE PAYMENT FRAUD IDENTIFICATION USING A META LEARNING CLASSIFIER IN A BUDGET-CONSCIOUS ENVIRONMENT:

       Developed a cost-efficient payment fraud detection system using a meta-learning classifier. Combined multiple base models to improve detection accuracy while optimizing for limited computational resources. Achieved high adaptability to new fraud patterns with minimal data (few-shot learning).

• Detection and Multi-Level Classification of Iris Tumors Using CNN:

         Developed a deep learning-based system leveraging ResNet-18 CNN architecture for accurate detection and stage-wise classification of iris tumors (Early, Intermediate, Advanced, Normal). Implemented data preprocessing and augmentation techniques to enhance model generalization. Achieved robust performance using transfer learning and evaluated through accuracy, precision, recall, and F1-score metrics. Deployed the trained model as an interactive Flask web application supporting real-time predictions via image upload and webcam capture.