Well, a little bit about myself. I have solid statistical and technical background, and I'm a fast learner, and I'm also a really good teammate. So for the statistical and technical background, like I just said before, I took a lot of like statistical courses during my undergraduate and graduate years, such as linear regression models, probability, and statistical machine learnings. And during my internships and projects, I've honed my technical skills like SQL, Python, and R. So I've improved my data analysis skills and data modeling skills when I was in school and internships. So I really want to apply the knowledge I've learned into an insurance industry to help the company to make business impact. And for the fast learner part, I would like to say during my internship at a fintech company. So actually, at the beginning, I was the only intern in the group, and the task was very urgent. So the thing I did is I rapidly grasped the domain knowledge of my projects and researched on the potential statistical methodologies for my projects. So finally, I applied K-Means method to do the customer segmentation and help the company to earn 1 million revenue. I'm also a really good teammate and enjoy working with colleagues because I think in this way, we can understand each other better, and it can promote communication. And finally, we can make more innovative solutions for the company. So that's the three things I would like to share.