Fatma Mohammed

Networks and Cybersecurity Graduate with a strong academic foundation from Northumbria University in enterprise network security, digital forensics, and secure application development. Experienced in designing secure network architectures, conducting incident response investigations, and completing a comprehensive technical computing project. Proven communication and leadership skills gained through academic projects and community volunteering.

Solar Output Forecasting with Machine Learning & Explainable Al (ΧΑΙ

• Developed a machine learning forecasting pipeline using XGBoost to predict short-horizon solar PV generation based on dynamic weather patterns.
  
• Applied Explainable Al (XAI) frameworks (SHAP & LIME) to interpret model predictions, feature importance, and decision boundaries for transparent decision support.
  
• Implemented time-ordered train/test splits (walk-forward / rolling-origin evaluation) to ensure model accuracy and eliminate data leakage.
  
• Conducted model evaluation using standard solar forecasting error metrics to validate performance under varying environmental conditions.

• LOYAC

Participated in a volunteering program to provide underprivileged children with brand new clothes

• Books, Traveling, Cooking, Writing, coding projects, and tennis