Passionate data scientist with diverse experience in different fields such as machine learning modeling, natural language processing, search engine development, graph mining, and time series prediction. I like to keep up with the tech frontier and enjoy data science and programming!
2013-2015: China Agricultural University, Beijing, China
Focus: Economics, Communication, International Studies
Work: Office of Study Abroad Coordinator
Experience: China Agricultural University Badminton Club President
2015- 2019 University of Michigan, Ann Arbor
B.S. in Statistics, minor in Economics
Course Work: Probability Theory, Statistical Analysis, Econometric, Programming, Machine Learning
M.S. in Information, specialize in Data Science
Course Work: Programming, Natural Language Processing, Data Mining, Consulting, Data Manipulation, Graph mining, Predictive Data Analysis in Health and Medicare
Data Scientist
Big Data Management
Data Analysis(R, Python, SQL)
Natural Language Processing(NLP)
Image Classification
Machine Learning
Neural Networks: RNN, LSTM for NLP and CNN for image.
I am a huge fan of data science. Data ALWAYS tells us something. However, it can be misleading, and it is also open to interpretation. So I consider data science as an art of science. I enjoy both being like a detective hunting for the hidden truth behind massive data, and also being like an artist making data into stories that bring impact to our world.
Data comes in a variety of forms, either unstructured or structured. It can be numbers, text, images, or even sound. One of the key things to make computers understand those unstructured data is to make it into numeric representation. It fascinates me to think that when we are able to represent everything in our world with numbers, we may be able to make computers truly understand our world!
Besides data, I'm also interested in social and environmental science. I am a big advocate of environmentalist!