daehyunk927

I graduated from University of Washington, Seattle back in December 2016 and am currently working as a data analyst. I am planning to apply for Masters in Statistics this coming fall (to attend from 2018 Fall) and have tried to come up with a school list. My potential list is: UC Berkeley Harvard U of Chicago U of Washington Carnegie Mellon Duke UW Madison Columbia Cornell UCLA UW Informatics I did double majors in Computational Math from which I had all the required math courses plus some Computer Science courses, and also in Mechanical Engineering. My cumulative GPA is 3.68 and my major GPA is around the same. I took GRE once without much preparation and got V:158(80%), Q:170(97%), W:3.5(42%). Should I take another GRE or forget it? I have a couple of research projects in my experience: one from Mechanical Engineering department from which I evaluated computing performances and another from Electrical Engineering department from which I worked on machine learning. Both of the professors can write me good recommendation letters. I know my GPA, GRE, and others are not good enough for top schools like Berkeley, Harvard, UChicago (which would be far reach), but I would like to ask about other schools like CM, Duke, UW Madison, and Columbia.