Intern
Innovating Tomorrow, Today
Computer Science student at GITAM Deemed University with hands-on experience in Machine Learning and Data Science. Skilled in Python, TensorFlow, and Scikit-learn, with practical experience in CNN-based Hyperspectral Image Classification using SMOTE. Completed internships at DRDO, Oasis Infobyte, and Prodigy Infotech. Passionate about applying AI technologies to solve real-world problems.
Creative & Professional
Contributed to AI research projects related to defense technologies.
Worked with Python and data modeling techniques.
Participated in building data analysis models and visualization dashboards.
Applied ML techniques to real-world datasets.
Implemented machine learning models for data classification tasks.
Collaborated with a team on end-to-end data science workflows.
Developed a CNN model to classify hyperspectral images with improved class balancing using SMOTE. Enhanced model performance and accuracy through pre-processing techniques and data augmentation.
Optimized the architecture for better accuracy and reduced overfitting using dropout layers. Implemented a Convolutional Neural Network to classify hyperspectral imagery based on spectral-spatial features. Grouping is done by putting major crops in with different classes and the rest of the crops in one single class to increase accuracy.
GITAM Deemed University
Tirumala Junior College
Sri Sathya Sai Vidya Vihar High School