Entry-level data and QA professional based in Palestine. I bridge machine learning pipelines and quality assurance — trained in data science, ML, and test automation. From test cases to data pipelines — quality in everything.
Built a binary classification model to predict cardiovascular disease risk based on patient medical and lifestyle data (~70k records). End-to-end pipeline: data cleaning, EDA, feature engineering, and dual-model architecture with XGBoost and Keras. Enables early detection to support better clinical decisions.
Automated test suite for saucedemo.com covering core user flows — login, purchase, and logout — plus API testing to validate backend endpoints using Postman. All contributions managed and merged via GitHub.
Cross-platform mobile app to search, save, and manage a personal movie watchlist with genre-based categorization and multi-filter search. Data stored locally using SQLite with smooth edge-case handling.
Hands-on QA internship covering test case writing, Selenium automation, defect reporting, and test coverage analysis for web applications.
Intensive program covering Python, ML algorithms, neural networks, recommendation systems, reinforcement learning, and a full capstone project — cardiovascular disease prediction on 70k patient records.