I am currently a 4th year undergraduate at a big ten school in the United States. I have just applied to PhD programs in Statistics. These programs are in the T-30 or so, and I would like to get honest feedback on my chances of getting into these programs. Furthermore, I would like advice on how I should proceed if I don't get in this cycle (I graduate in Spring 2023).
Undergrad Stats:
Degree: Statistics Major, Mathematics Minor
Cumulative GPA: 3.46/4.00
Major GPA: 3.5/4.0
Courses Taken (Grade) :
Introductory Proofs (B)
Real Analysis 1 (B) ,
Linear Algebra (Undergrad Version) (B)
Linear Algebra (Graduate Version) (A-)
Calculus 3 (B-)
Calculus 2 (B+)
Probability (B+)
Statistical Inference (A)
Advanced Statistical Inference (A)
Regression 1 (A)
Regression 2 (B)
Experimental Design (A)
Statistical Learning (A)
Bayesian Statistics (A)
Future Courses (SP 2023):
Real Analysis 2
Time Series Analysis
Statistics Reading/Study Class: Topological Data Analysis (Includes Project)
Computational Statistics
Research Experience:
Research Assistant at Experimental Psychology Lab (Driving Simulation Lab)
Projects:
- Mixed Modeling and ANOVA on data collected from Driving Simulation Lab
- Time Series Classification of Driving Scenarios
Other Projects:
Sports Analytics Project Presentation:
- Investigating features related to NBA MVP's - Presented at Sports Analytics Conference
Teaching Experience:
- Education Director for Data Science Student Organization
Created a course on data science for R and python for undergraduate students
Developed syllabi and course curriculum
Hosted weekly workshops
