After seven years of academy life at UTAR, I decided to move on to the data science industry to explore the opportunity in big data transformation.
It is a hard but necessary move to me. I will leave the full story to offline face to face discussion if our frequency and space-time are right.
Here are my observation after six months working in data science industry. Majority of Malaysia industries are business-driven entities — business comes first and research be the second (or last). Usually, R&D or r&D departments are hardly survive in the evolution (a.k.a company restructure / reorganization) considering the output are always less convincing in the board meeting. One of the common practice is to embedded the R element as part of the product development such that some tangible output are there.
Another interesting thing is, the term research varies a lot in industry. It can refer to operational research, product research, applied research, etc. Definitely it is not the research that allows you to sit down to for the whole month just to derive an elegant but less useful equation to them.
After all, I am the latter type of person. I guess it gonna takes another few months before my boss realizes that I am working on a niche research topic instead of building the requested machine learning model.
titanlab.org 