I am a Computer Science student, specializing in machine learning, artificial intelligence, and data science. With a solid foundation in Python, deep learning frameworks like TensorFlow, Keras, and PyTorch, and extensive experience in data analysis and visualization, I am committed to applying advanced technologies to solve real-world problems.Over the course of my academic career, I have worked on a range of impactful projects, including developing deep learning models for Alzheimer’s detection, creating real-time traffic estimation systems using YOLOv8, and building sentiment analysis pipelines using cutting-edge NLP models such as RoBERTa and BERT. My hands-on experience also extends to computer vision, time series forecasting, and machine learning model optimization.I am passionate about continuous learning and have actively pursued advanced courses in machine learning and AI from platforms such as Coursera and IBM. I am always eager to collaborate with others and contribute to innovative solutions that leverage AI and data science to drive business success.