As a Machine Learning Engineer with one year of experience, I've built a solid foundation in working with structured and unstructured data, web scraping, data gathering, data cleaning, and entire data pipelines using Python, Excel, Pandas, NumPy, and Spark. I have worked with Natural Language Processing (NLP) tools such as NLTK, Spacy, and regex to perform vectorizing, stemming, text clustering, and word2vec techniques. I'm also familiar with transfer learning and HuggingFace. I've also worked with computer vision technologies like OpenCV, Convolutional Neural Networks (CNN), PyTorch, and TensorFlow. I have experience building end-to-end machine learning pipelines on AWS, Heroku, and Docker, including model building, training, testing, and deployment. I've built end-to-end machine learning pipelines on AWS, Heroku, and Docker, including model creation, training, testing, and deployment. I am familiar with databases like SQL and MongoDB, as well as libraries like TensorFlow, PyTorch, scikit-learn, HuggingFace, NLTK, Spacy, Pandas, NumPy, and OpenCV. I also have web development experience, having worked with backend technologies such as Django and Flask, as well as frontend technologies such as JavaScript, React JS, and Bootstrap. I am an effective communicator who can work with teams to understand requirements and handle multiple tasks with focus and task management skills. My curiosity about new technologies, combined with my strong technical skills, make me a precious member of any team. Thank you for reading my profile; I look forward to connecting with you on LinkedIn.