

A Results-driven professional skilled in programming languages like Python, R, SQL, Java, and C++. Extensive knowledge of AI/ML techniques, including machine learning, deep learning, NLP, and image processing. Experienced in using libraries such as Pandas, NumPy, TensorFlow, and PyTorch for effective data analysis and visualization. Strong analytical and problem-solving abilities aimed at fostering innovation in data-centric projects.
Smart Decision Support System (Circular Economy Optimization), Developed deep reinforcement learning model for sustainable university waste resource optimization., Diabetic Retinopathy Grading System, Built ensemble deep learning model for medical image classification., Cognitive Impairment / Dementia Prediction, Applied machine learning models on ELSA dataset for early detection., Credit Card Fraud Detection System, Developed real-time fraud detection using Python and ML algorithms., Cyberbullying Detection Using NLP, Implemented NLP models to classify social media text data., Emotion Detection Image Classification, Designed deep learning model for emotion recognition using image processing.