I am a passionate Machine Learning Engineer with over 1 year of experience, specializing in deep learning and natural language processing. I have a solid foundation in Python and have successfully completed multiple projects involving image recognition, object detection, text classification, and sentiment analysis. My work also includes research on large language models, focusing on improving model efficiency and performance. In addition, I have over 1 year of experience as a Data Science Intern. During this internship, I honed my skills in regression, classification, data analysis, and data visualization. I completed several projects, notably developing end-to-end solutions for predicting movie success and detecting helmet usage. I am proficient in using popular ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as data visualization tools such as Matplotlib and Seaborn. I am enthusiastic about leveraging my skills and experience to solve complex problems and contribute to innovative projects in the field of machine learning and data science.