I am Ibrahim Mohamed, a Machine Learning Engineer and Data Analyst specialized in transforming raw data into actionable insights that support accurate, data-driven decision-making. I have a strong academic background in Statistics and Computer Science from Ain Shams University, enabling me to combine analytical thinking with modern programming techniques to solve real-world problems. I have extensive experience in data analysis and predictive modeling using Python, along with proficiency in tools like SQL, Excel, and Power BI to create interactive reports and dashboards that facilitate strategic decision-making. I also work in advanced Artificial Intelligence domains, including Machine Learning, Computer Vision, and Natural Language Processing (NLP), developing models for classification, prediction, and pattern extraction from complex datasets. I utilize advanced Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, OpenCV, NLTK, and Transformers to build efficient, scalable, and practical solutions. My expertise covers data cleaning, preprocessing, exploratory data analysis (EDA), and building classification and predictive models, as well as the ability to translate results into clear, professional reports and dashboards.