Syedabdul Ahad

I developed an Explainable Artificial Intelligence framework for kidney cancer survival prediction as my final-year project. I implemented Logistic Regression, Random Forest, XGBoost, Gradient Boosting, SVM, and MLP models, and applied SHAP and LIME to improve transparency. For the project, I also conducted data preprocessing, feature engineering, model evaluation, and external validation using Python. At Independent / Freelance, I manage inventory logs, financial sheets, and reporting using MS Excel and Office tools. I also handle rapid data entry, billing, and system navigation. At Arch Technologies, I conducted daily IT troubleshooting, system checks, and operational data management during a cybersecurity internship focused on secure networking, cyber threats, and security best practices.