Aishah MD Selamat
Aishah Selamat is a UK Data Service Data Impact Fellow and a PhD Researcher with the Faculty of Science and Technology at Bournemouth University. Her PhD research is fully funded by the industry, where she aims to develop an Intelligent Transportation Analytical Model (ITAM) for SMEs. She is based with County Coaches (UK) LLP, located in Luton, in order to conduct her research in the field. Taking the role of Data Scientist (Research) in the company, her key role involves in initiating and influencing the practice of establishing a data-driven decision-making culture within the SME, particularly in the area of Digital Marketing. In all, she has close to 10 years of working experience with footprints in Singapore, Malaysia, and Indonesia. Prior to starting her PhD research, she had successfully led a team, in launching a micro-transaction payment system in Asia. Her industrial background in IT operations, business process, and project management inspired her to pursue a research doctorate in the field of big data analytics. Her passion for big data ignited during her Masters’ studies at University Bedfordshire when she uncovered its immense potential. Her academic achievement includes a special mention during her postgraduate graduation ceremony in July 2015 for founding Bedfordshire University’s MBA Global Association under the Vice-Chancellor’s Student Experience Projects (securing an award funding of £5,000 for the association) and her academic excellence. In April 2017, she had been honoured by her alma mater, Bendemeer Secondary School (Singapore) with an Outstanding Alumni Award for her continuous academic journey. Her aspiration is to create a bridge between the research community and industrial practitioners from her PhD research. She believes the close partnership between the academic and industrial partners would heighten innovation in the areas of big data. In her spare time, together with her peers; they have founded a DataDenizens.com platform, to gather inter-disciplinary data enthusiast to collaborate on solving data problems for the small-scale organisation from various sectors.