I am Zeyad Ashraf, a Machine Learning Engineer and Data Scientist passionate about building intelligent, data-driven solutions that solve real-world problems. I enjoy working with data, developing Machine Learning models, and transforming raw data into meaningful insights. My work includes data cleaning, preprocessing, exploratory data analysis (EDA), feature engineering, model training, evaluation, and data visualization. I focus on writing clean, organized, and well-documented Python code while continuously improving my skills and applying best practices in AI and Data Science. My goal is to deliver reliable, high-quality solutions that help clients gain valuable insights from their data and solve real-world problems using Machine Learning and Data Analytics.