Hi guys, I'll be applying for a 2019 PhD program. I greatly appreciate your time and advice! Below is my profile:
Undergrad: Smaller state school in PA
Major: Mathematics
Minor: Statistics, Actuarial Science
GPA: 3.9 (Only 1 B from Abstract Algebra)
Type of student: Domestic White Male
Program desired: PhD in statistics
Research Experience: 1 published paper, 2 large projects in sports analytics. I've presented them at IFORS and SAS Global Forum (Oral presentations, not poster). Both accepted for presentation at INFORMs 2018 annual meeting. 1st was done entirely in SAS, uses SQL and IML and simulates baseball games (Win/Lose accuracy about 70%). Second is about optimizing pitcher rotations with a fully functional front-end. Coded all in Python. Starting another project within a few weeks, probably about sports, using machine learning.
Teaching: 1 semester as a TA in a stats class, 4 semesters working in math tutoring center.
Other: 1 actuarial internship at large insurance company in actuarial/analytics role, passed first two exams (P and FM)
Programming: Strong: Python, SAS, R, SQL, Latex Proficient: C++, VBA
GRE: Haven't taken yet
Course Work: Calc 1-3, Mathematical Statistics 1-3, Statistical Computing, Statistical Modeling (grad level), Data Mining (grad level), Abstract Algebra, Linear Algebra( this fall), Real Analysis (this fall), Deterministic Models of Operations Research, Stochastic Models of Operations Research
Plan on applying to:
Ohio State
Michigan
NC State
NC State Chapel Hill
Pitt
Penn State
CMU
Stanford
Iowa State (maybe)
Duke
Columbia
Rochester
Please criticize my schools, or add any you think. I've just started the list and know I need to add quite a few more. Let me know what you think!
Thanks again.