
Versatile professional with expertise in programming languages including Python, C, and Java, along with proficiency in frameworks such as PyTorch and OpenCV. Strong foundation in mathematics supports deep learning project development. Demonstrates mastery of Adobe Creative Suite for marketing material design and possesses solid knowledge of Linux and Git. Committed to leveraging technical skills to drive innovative solutions and improve project outcomes.
Deep Learning-based Fraud Detection System, Developed a deep learning model to detect fraudulent financial transactions by identifying anomalous patterns in transactional data., Performed data preprocessing and feature engineering to handle class imbalance and improve model robustness., Implemented and trained neural network models using Python and PyTorch for classification tasks., Evaluated model performance using metrics such as accuracy, precision, and recall to optimize detection effectiveness.