Results-driven professional seeking to leverage expertise to drive innovation, optimize performance, and contribute to organizational success through strategic problem-solving and continuous growth."
HIERARCHICAL CLUSTERING:
Implemented hierarchical clustering using agglomerative and divisive approaches with Euclidean and Manhattan distances. Optimized cluster formation using single, complete, and average linkage methods. Visualized dendrograms for interpretability in data segmentation. Improved computational efficiency using fast linkage algorithms.
POST COVID PREDICTION:
Developed an AI-driven Clinical Decision Support System (CDSS) using an InceptionV3-based CNN model for automatic detection of COVID-19 complications from Lung X-rays, Brain MRIs, PET scans, and Kidney CT scans. Leveraged deep learning for feature selection and classification, achieving superior performance over baseline models like CNN and RNN. Conducted empirical study using publicly available datasets, demonstrating improved accuracy in disease detection and diagnosis.
EYE BALL CURSOR MOVEMENT DETECTION: Developed an eye-tracking system using image processing and machine learning in Python for hands-free computer cursor control. Achieved high accuracy in tracking eye movements and translating them into cursor actions. Enhanced accessibility for users with motor impairments and potential applications in gaming and VR.
Date Of Birth: 12/07/2001
Gender:Female
Mother tounge:Telugu
Nationality: Indian
I declare that all the above furnished details are true to the best of my knowledge. I assure that I will be successful professional in your concern, by fulfilling my responsibilities.