Juber Atar

Developed and implemented Machine Learning models for data analysis, prediction, and classification tasks. Performed data preprocessing, feature engineering, and exploratory data analysis using Python libraries such as Pandas, NumPy, and Matplotlib. Trained and evaluated machine learning algorithms including Linear Regression, Decision Trees, Random Forest, and Classification models. Worked with Scikit-learn and TensorFlow to build and optimize predictive models. Analyzed model performance using evaluation metrics such as Accuracy, Precision, Recall, F1-Score, and Confusion Matrix. Collaborated with team members to solve real-world business problems through data-driven solutions. Documented project workflows, model results, and technical findings for effective knowledge sharing. Gained practical experience in Machine Learning, Data Science, and Artificial Intelligence concepts.