Would love some feedback on my profile, below - specifically, if I have a legitimate shot at the schools I have listed, or others I should consider.
Undergrad Institution: Large state school (ranked between 100 - 120 nationally) Major(s): Economics, Math, Finance GPA: 3.78
Graduate Institution: Large state school (same as above) Major(s): Applied Economics GPA: 3.91
Type of Student: Domestic White Male GRE General Test:
V: 157
Q: 169
W: 4
GRE Math: Haven’t taken, but considering it
Programs Applying: PhD in Statistics – specifically Bayesian or Probability theory
Research Experience: I had some research papers/projects in grad school around data analysis, but I’m not sure of those would fall under this. So I’m going with none, for now
Professional Experience:
2 years experience as a Data Analytics consultant for a top 5 consulting firm (current job) . Also interned there for a summer as well
Relevant Courser Work: Undergrad: Calculus 3 (A+), Linear Algebra (B), Differential Equations (A), Statistical Data Analysis (A), Theory of Probability (A), Math Stats w/applications (B), Applied Diff Equations II (C+ - The class was geared towards engineering students, which I did not know at the time. I took it as an elective), Real Analysis I (A)
Graduate: Statistical Data Management (A), Data Mining (A), Mathematical Economics (A), Advanced Statistical Data Management (A), Advanced Data Mining (A), Econometrics (A), Forecasting Analysis (A)
Computing Skills: SQL, SAS, VBA, SPSS, R, Python
Considering applying to:
Harvard
Duke
UNC
Texas A&M
Rice
SMU
UT (Austin)
Michigan
Alabama
Still early in the process (obviously), so am open to suggestions on other schools to consider
Concerns: Mostly lack of research and my being out of school for a bit (graduated 2016), but I'm hoping my professional experience will make up for some of that