Mohamed Amir

Machine Learning Intern @ Digital Egypt Pioneers Initiative - DEPI

About

Hi, I’m Mohamed Amir Abouzaid, an AI student passionate about creating smart solutions using Python,c++ and SQL. I enjoy solving problems and turning ideas into practical projects, with a focus on data science and machine learning to deliver real results. I’m always eager to learn new technologies and contribute to innovative projects that make a tangible impact.

Country

Egypt

City

Qesm Banha

Industry

Computer Software

Skill

Adversarial Search, Minimax Algorithm, Alpha-Beta Pruning, django , PostgreSQL, HTML, CSS, JavaScript, Feature Engineering for data, Scikit-Learn, Kaggle, Linear Regression, Logistic Regression, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Naive Bayes, Decision Tree, Random Forest, Unsupervised Learning, K-means clustering

Experience

Machine Learning Intern

Digital Egypt Pioneers Initiative - DEPI

2025-12 - Present · 10 mos

مصر

6-month training program for machine learning engineer, part of the Digital Egypt Pioneers initiative

Machine Learning Intern

National Telecommunication Institute (NTI)

2025-8 - 2025-9 · 2 mos

مصر

During my training in Machine Learning, I gained hands-on experience in developing and evaluating predictive models using Python and popular libraries such as Scikit-learn, Pandas, and NumPy. The training covered key concepts including supervised and unsupervised learning, data preprocessing, feature engineering, and model performance evaluation. I also worked on practical projects involving classification, regression, and clustering, which enhanced my ability to transform raw data into actionable insights. This experience strengthened my understanding of the machine learning workflow and sharpened my problem-solving skills in applying Al techniques to real-world scenarios