Khadija is a data scientist with technical knowledge and practical skills to delve into the intricacies of ML and DL algorithms.
With hands-on experience in analysing data and utilizing machine learning techniques for predictive analysis, Khadija shares real-world examples and demonstrates how ML and DL are applied in various domains.
Her role as a student insights and sector policy manager has given valuable insights into the educational landscape and industry requirements. Khadijia is also passionate about careers in AI and helps students navigate opportunities in this rapidly evolving field.
Fahim, M., Fraz, K., Sillitti, A., 'TSI: Time series to imaging based model for detecting anomalous energy consumption in smart buildings', 2020.
Hamizi, I., Bakare, A., Fraz, K., Dlamini, G., Kholmatova, Z., 'A Meta-analytical Comparison of Energy Consumed by Two Different Programming Languages', 2022
Khan, A., Fraz, K., "Post-training iterative hierarchical data augmentation for deep networks.", 2020.
"You are never too old to set another goal or to dream a new dream." - C.S. Lewis
This online course has been designed to support individuals who are ready to lead in this fast-moving field and create new opportunities for themselves and their organisations.
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