Ibrahim Jadir

Passionate Machine Learning (ML) professional and data-driven analyst with the ability to apply ML techniques and leverage algorithms to solve real-world business problems. Established ability in deploying effective predictive models across different industries to accurately forecast consumer behaviour and deliver proven results.

Scientific researcher and a leacturer of ML courses and supervising psotgradute studtnes.

Excellent in teaching and research that will help the academic institutions growing the undergraduate and graduate programs in Computer Science

• Programming and computers software and applications courses;
• Teaching students how to conduct research and how to develop necessary skills to succeed in the academic works and postgraduate studies related to ML.
• Develop the student’s (candidates) capabilities in data science and machine-learning, and apply them to create new data-driven insights;
• Design, conduct, and report results from prototype or proof-of-concept research projects that focus on 1) new tools, methods, or algorithms, 2) new scientific domains or application areas, or 3) new datasets or sources;

Awarded PhD (Aug 2019) Murdoch University Perth- Western Australia, School of Engineering and Information Technology at Murdoch University, Perth, Australia.

Thesis Title: Document Clustering with Optimized Unsupervised Feature Selection and Centroid Allocation