Bernard was a Fellow in our Fall 2016 cohort who landed a job with Uptake.
Tell us about your background. How did it set you up to be a great Data Scientist?
I studied Materials Science and Engineering at Northwestern University for my PhD. Graduate school prepared me with an array of technical skills including programming, statistical analysis, and the ability to build, communicate, and defend a scientific argument. These are all important in producing data science products and presenting them to those at all levels of a corporate structure.
What do you think you got out of The Data Incubator?
What advice would you give to someone who is applying for The Data Incubator, particularly someone with your background?
Come ready to cooperate and make friends. The term “Incubator” was apt for my cohort – our ages varied by decades, but we were all Data Science newborns together. You will have a lot to gain through collaboration, so make sure to get to know those around you and to form connections. And on another note, try to complete as much of your capstone as you can before you arrive! It will allow the partners to give you more substantive feedback, and will free up more time for everything else.
What is your favorite thing you learned at The Data Incubator?
It was exciting to learn about parallelized tools for data processing and machine learning.
Could you tell us about your Data Incubator Capstone project?
I worked on a prediction algorithm for crimes in Chicago based on time and location. I ended up discovering some interesting patterns, including peaks that track with the sunset and drastically change form based on neighborhood.