Ph.D. student in biostatistics and data science, minor in environmental sciences. With the rise of the big data era, I was dealing with lots of environmental image data (in my previous background in environmental sciences). Data science approaches problems from a data perspective and machine learning algorithms can be applied to solve any kind of problems, which is truly beautiful

It gives a very comprehensive experience, which set a strong foundation and got me interested in exploring further in this area. (I'm actually now doing my Ph.D. program in biostatistics and data science.)

"The steep learning curve was a challenge."

Exceptional. I like the flexible schedule, which allows me to learn things at my own pace. Also, my mentor Amir is ABSOLUTELY AWESOME. I've learnt so much from him. He is like a never-exhausted source of information and he also inspires me to be like him.

SQL was challenging because that was something I've never encountered before, but my mentor was very patient in answering all my questions, and I've spent extra time exploring on my own.

Credit card fraud detection and also predictive analytics on electronic health records using PyTorch.

I've done my internship at Shell as a data scientist, I’m continuing doing my Ph.D. program, and I plan to be a data scientist in the industry afterwards.

Communicate with your advisors (both career and course advisor) frequently, they've got lots of resources. NEVER be afraid to ask for more!