As a graduate teaching assistant at Northeastern University, I support the teaching and learning of data mining in engineering, a course that covers topics such as data preprocessing, clustering, classification, and association analysis. I assist the instructor with grading, tutoring, and developing materials, while also enhancing my own skills and knowledge in data science.I have a strong background and interest in machine learning, natural language processing, and computer vision, as demonstrated by my previous work and research experiences. For example, as a machine learning engineer at NeuranceAI, I developed and deployed deep learning models for speech recognition and sentiment analysis, using PyTorch and cloud platforms. I also have experience in applying computer vision and image analysis techniques to various domains, such as robotics, solar energy, and manufacturing.I recently completed my master's degree in data analytics engineering at Northeastern University, where I aim to deepen my understanding of data-driven decision making and problem solving. I am confident that my education and past experience have prepared me well for a role as a data engineer or scientist, and I am eager to drive innovations and improve user experiences in this industry.