Hi all, I was hoping to get some evaluation on my profile for the current application windows. Any input would be greatly appreciated. Here is my profile: Undergrad Institution: One of the better schools in the CSU (California) systemMajor(s): MathematicsGPA: 3.31 (This is really low but my major GPA is high and my Master's degree GPA can hopefully make up for it) Graduate Institution: Same as aboveMajor(s): MathematicsGPA: 3.97 GRE Scores:Q: 170 (98%)V: 150AW: 4.0 GRE Subject Mathematics Score: 790 (78%) Research Experience: Master's thesis is in Combinatorics, so that's somewhat related to probability theory. Other than that none is really about statistics.Awards/Honors/Recognitions: Putnam Exam score of 10 in years, 2 conference talks, President's List, Department's scholarship Programming: R, C++, PythonJobs: 3 years of Math tutor, grader, and Teaching Assistant where I get to teach my own class in Algebra I and II. Nothing statistics related though.Letters of Recommendation: all 3 from math professors, one of which will be super good and another one should be really strong as well, the last one I'm sure will be better than average.Stats Courses taken: Probability (B), Applied Statistics (B-), this is where I think will hurt me the most. Proof-based courses: Grad level: Real Analysis I and II (A and A-), Complex Analysis I and II (both A's), Topology (A), Analytic Number Theory (A), Abstract Algebra I and II (both A's), Graph Theory (A), Combinatorics (A) I got all A's in Multivariable Calculus and Linear Algebra. However I got a D in Abstract Linear Algebra (It was a long time ago before I started to get serious with college and I really regret it). Right now I'm thinking of applying to UC Irvine, UC San Diego, Purdue, Michigan, Upenn, and Penn State. Am I under aiming or over aiming any of these? Should I aim for any stronger place? I'm interested in Bayesian and Time Series analysis, but I'm open to Biostatistics too. I appreciate all the help!