Now I'd like to introduce you to Tiffany Yu who is a business data analyst at Argus Information and Advisory Services. >> [INAUDIBLE] Name is Tiffany. I'm originally from a city near Shanghai back in China. And then about like, four years ago, I came to Duke University to study my Master degree in engineering management. And during that time, I participated in the International Training Competition, which is coached by you. That is a really great experience. And also I took the data mining course which is also offered value. After I graduated, I joined Argus Information and Advisory Services. This is a consulting company which providing marketing analytics, data analytics in the risk management for the leading retail banks, credit bureaus, and the retailers in United States, UK, Canada in the credit card industry. I'm currently Associate Manager in the modeling team. Yeah, Argus have the credit card transactional level data. By that, that means every time you swipe your credit card, for example in a grocery store, we’re able to capture the spend, the transaction description, and the time of that transaction. The customer wants to know the potential default rate of the customer, and then we could use a logistic model to predict how likely this customer is going to default. So we help them with this kinda like marketing campaign, existing customer management, market acquisition campaign, and also some risk management project. To be honest we don't really have a compelling market because of the unique data set we have. Usually during the interviews they will give you a case, which is kinda like a business case, and then they will ask you what kind of model you want to view. And also, after you view the model, what the matrix you were using to evaluate whether this model is effective or not. And also, this model will have. And finally how you use, go back and explain the business problem. My daily work involves SQL, using SaaS, R, those kind of tools. If there's only one language you should learn, I mean it's definitely SQL, Microsoft SQL Server. Yeah. >> Right, okay. >> It is very, very helpful. It's like a fundamental of everything, because you're in the big data world, you have to have a place to store all this data and the first thing you always need to do is gather data from the database, yeah. So I think SQL would be very very helpful. >> Yeah. >> So we have a model for them to predict the rate. For the credit card industry, the key metrics like, total spent, total balance, average credit lines. There are a lot of actually opening with title like Business Analyst, Business Data Analyst and Data Science Analyst, and people just get really confused about what they really are. And a lot of people they apply for it, and one or two days before they interview, and they call me ask what kinda skills they need to know and I said oh, it's good if you can write SQL language and they were like oh, you should tell me a little bit earlier then. [INAUDIBLE] >> [LAUGH] >> SQL is not exactly that difficult. If people prepare for like one week, they can actually, you know, know something. So, yeah, but most of the time I just feel like people don't really know and they don't have the access to gather this kind of information. So I think it's really helpful if you have a class like this. You're getting the information from the guy who's actually working within this industry and telling you what kind of, like, technical skills you need to know. And also, when you explain your previous work experience, how you present it.
