李政崇

My majors in PhD years are optimization and graph theory.
After graduating, I joined Intel-NTU Connected Context Computing
Center and launched a project called the YouBike transport
problem, whose objective is to find an efficient way to transport the
YouBikes.In the real case, the commuters may have to wait for a
while to catch or return YouBikes. In order to save their time, the
manager has to transport YouBikes (by trucks) among different
rental stations. However, from the manager's perspective, not only
the utilization of the YouBikes, the transport costs, are critical for the long-term operation. Hence, this project aims to find an acceptable
solution to transport YouBikes such that the commuters can save
their time to catch / return YouBikes and the system manager can
save transport costs of YouBikes, i.e., to achieve a win-win strategy.

I had been a Data Scientist in 104 Corporation from April 2014 to
March 2016. Recommendation system, especially, the collaborative
filtering system, is my focus. The current similar-job recommendation
interface, which will output 600 similar jobs for a given job, is my
achievement. Such function can alleviate the load for a user to seek
for suitable jobs. Also, a resume recommendation system, which is
SVM-based, is my major work. Please see below projects to know
more.

Now I am a project manager and chief data scientist in Coretronic
Intelligent Cloud Services OCTOBER 2017 to Till . Besides
recommendation systems, I also focus on deep learning and
RNN. There are three projects to conclude my works : daily
sales prediction, total audiences prediction and customize
recommendation systems. Please see below projects to know
more.
keywords : Algorithms Design and Analysis, machine to machine
technology, Data mining and database

Project Manager
城市，TW
[email protected]