As a graduate research assistant with ExecEd’s Data Science team, I am primarily focusing on improving the recommendation system and analyzing online user behavior for growth hack. I am trying to improve the efficiency and accuracy of the current recommendation algorithm through natural language processing and machine learning techniques.

Solving real-world problems by way of scientific data analytics is the most exciting thing to me. Due to the increasing data size, many statistical theorems can be applied to help people see insights on the data and leverage this analysis to improve human beings’ lives.

But there are still many challenges. We have many unsolved problems – there is no single model that is powerful in every place. Besides the difficulty of training data and building the algorithm, considering how we manipulate the data and what we want from the data is the challenge I face.