As a Junior Web Developer and aspiring Data Scientist, I bring a strong foundation in both web development and machine learning. My journey began with front-end development, mastering HTML5, CSS3, JavaScript, and frameworks like Bootstrap. This foundation expanded into back-end technologies, including Python, SQL, and Django, enabling me to build full-stack applications.Transitioning into machine learning, I have gained hands-on experience with TensorFlow, PyTorch, and Scikit-learn, focusing on developing and deploying predictive models. My projects include data visualization using tools like Jupyter, Matplotlib, and Seaborn, as well as working with big data solutions and cloud platforms like AWS.I am passionate about leveraging data science to drive automation and innovation. My recent certifications in Python and machine learning, combined with my participation in Kaggle competitions, reflect my commitment to continuous learning and professional growth. I am proficient in DevOps practices, utilizing Git, Docker, and Kubernetes to streamline development workflows.With a background in diverse programming languages and a strong understanding of web architecture, I am eager to explore new opportunities in AI and data-driven projects.