Omar Eltanbdawy

Highly motivated and dedicated individual with a relentless passion for machine learning and data science. Equipped with a solid programming foundation, advanced Python proficiency, and hands-on experience with leading frameworks like PyTorch and TensorFlow. Exceptionally skilled in applying cutting-edge machine learning algorithms to solve complex problems and extract actionable insights from data. Demonstrated expertise in data preprocessing, feature engineering, and exploratory data analysis techniques. Proven track record of leveraging computer vision methodologies to successfully address challenges in brain tumor segmentation, computer vision, and food classification projects.

As an adept data scientist, I excel in employing data analysis to gain acomprehensive understanding of the datasets and make informed decisions when tackling project complexities. Committed to continuous learning, I have actively pursued deep learning and machine learning courses from renowned platforms such as Deep Learning AI and Udemy. These courses have equipped me with an extensive repertoire of machine learning algorithms, including XGBoost, recommendation systems, K-means, collaborative filtering, logistic regression, support vector machines (SVM), and more.

With an unwavering drive to stay at the forefront of advancements in the field, I am eager to contribute my skills and passion to cutting-edge projects within a dynamic machine-learning internship environment. Ready to take on challenges, further develop my expertise, and make a meaningful impact.