Essam Makarem
AI & Machine Learning Engineer | Python & Data Science
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Built a Customer Churn Prediction project using Python, Pandas, NumPy, and Scikit-learn. I cleaned and preprocessed the data, performed exploratory analysis, trained classification models, and evaluated performance using metrics such as Accuracy, Precision, Recall, F1-score, Confusion Matrix, and ROC analysis.
The goal was to identify customers at risk of leaving and uncover patterns that could help improve retention strategies.
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Built a stock analysis and prediction project using Python, Pandas, NumPy, and Scikit-learn. I cleaned and prepared historical Mercedes-Benz stock data, explored price trends and returns, created visualizations, trained regression models, and compared model performance using evaluation metrics such as MAE, MSE, and R².
The goal was to understand historical stock behavior and build a machine learning workflow for predicting future price-related values.
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Built a database-based Gym Management System to organize and manage gym-related data such as members, memberships, payments, and related records.
The project focused on designing a structured relational database, creating tables and relationships, inserting and managing records, and writing SQL queries to retrieve useful information efficiently. It helped me practice database design, data organization, and SQL operations in a real-world management scenario.
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