Yousef Khalaf

Computer Vision Engineer at Independent Project

Developed a CNN-based dog breed classifier using TensorFlow, Keras and OpenCV. Implemented data augmentation, model training, and evaluation; achieved high accuracy.

Built a deep learning model using CNNs to classify dog breeds from images. Used TensorFlow, Keras, OpenCV. Applied data augmentation and achieved high classification accuracy.

Data Scientist at Independent Project

Bulldozer Price Prediction: built a regression/classification model to estimate used bulldozer prices from sales data. Used Random Forest, Scikit-Learn, Pandas; performed data cleaning and grid search optimization.

Developed a regression model to predict the price of used bulldozers based on sales data. Used Random Forest Regressor, Scikit-Learn, NumPy, Pandas. Performed data cleaning and tuned the model with Grid Search CV.

ML Engineer (Healthcare Analytics) at Independent Project

Heart Disease Prediction Project: developed a classifier to predict the likelihood of heart disease from medical records. Used Pandas, Scikit-Learn; evaluated with accuracy and confusion matrix.

Built a classifier to predict the likelihood of heart disease based on medical records. Used Pandas, Scikit-Learn, Matplotlib, Seaborn. Evaluated using accuracy score and confusion matrix.