It is been a while since I wrote my last personal statement for my graduate school application. I am not a quick decision maker most of the time, but interestingly I made the decision to join CFRM without much pondering. It does not mean I did think about the resource and effort I have to pay as a part-time student. It is because I know many people regret not doing it during the early stage of their career.
After graduate study in computer science from Carnegie Mellon University, I joined Microsoft Bing Relevance team as a data scientist. As a new graduate, I feel so lucky to work on exactly what I always wanted to work: developing machine learning and deep learning models to solve challenging problems. Not like Google search which has been developed for twenty years, Bing is only 7 years old. As a product which is still under development, it gives us more chances to impact real users. Since I joined the team, I have been working on multiple projects using deep learning to improve the whole page quality and to remove low-quality websites. Deep learning has been one of the hottest topics in the technology world. But to my understanding, deep learning has it limitation same as many other
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Then why am I bothering to put my time and effort on another master degree in financial engineering, which seems not quite related to my current work? To me, financial engineering is the sweet point where mathematics, computer science and economics meet. More importantly, it is a field full of both risk and reward for both investors and business holders. I still remember how my brother, who has been working on financial industry for a decade, explained to me how stock and leverage works, and how finance can destroy or save an economy. I cannot think of any other field can be as fascinating as finance. When I first heard that the CFRM program accepts part-time students, I knew that this is the chance I cannot