I had six-year work experience before enrolling in the postgraduate course in IT industry as a marketing manager and sales. While working in the IT industry, especially when considering the field of data science, I felt that I wanted to work as an engineer instead. At that time, the phenomenon of “Internet of Things (IoT)” and “Big data” has just occurred and was accelerating exponentially, and so I feel it would be exciting to experience this directly.
In order to switch my career from management to an engineer and obtain theoretical knowledge, I enrolled in a MSc Statistics at the University of Glasgow because, from my experience in IT industry, I felt abstract and mathematical knowledge were areas which I needed to improve in the most. After the acquisition of theoretical statistical knowledge in classes on the 1st semester and some machine-learning myself, I joined ICAN Future Star Ltd as an algorithm developer aiming to develop a good product from my expertise as well as obtain further IT skills. I quickly realised that it was very rewarding. The team members respected each other, and when I came up with innovative ideas, they were quickly accepted and adopted to the R&D roadmap. Moreover, due to the small size of the team, each member needed to cover a broad range of technologies on the project.
At this moment, I am taking responsibility to draw a proposal for investment on our project, particularly with the aspect of developing innovative machine-learning algorithms. To obtain the funding successfully, I have to justify to the funding body why I chose specific technology regarding the models of the machine-learning algorithm and the selection of a range of variables. This allows me to dive into the technologies more deeply to demonstrate how we can develop and implement the innovative technology successfully.