Mohammed Yasser Darwiesh

Analyzed real-world e-commerce sales data using SQL Server to uncover revenue trends, customer behavior, product performance, and business insights through advanced SQL techniques.

Cleaned and standardized a real-world layoffs dataset using SQL by removing duplicates, handling missing values, standardizing data formats, and preparing the dataset for analysis.

Machine Learning project for housing price prediction using EDA, feature engineering, regression models, and hyperparameter tuning with Scikit-Learn.

Excel data analysis project featuring data cleaning, pivot tables, and an interactive dashboard to analyze customer bike purchasing behavior.

No project description available.

Customer segmentation and classification pipeline on UK e-commerce transaction data — RFM feature engineering, K-Means clustering, and multi-model comparison (Random Forest, KNN, Decision Tree, SVM, XGBoost, LightGBM).