FALL 2022 Profile Evaluation

[DeeeP]

Undergrad Institution(s): Top 50 public with good stats department
Major(s): Economics, Mathematics
Minor(s): Statistics
GPA: 3.85 Math, 3.95 Econ, 3.9 overall

Type of Student: White Male

GRE General Test: V159, Q168, AW4.0

GRE Subject: Nope, disaster to schedule this year

 

Coursework (completed):

(A unless indicated otherwise)

• Math: Calc 1/2, multivariable (B+), Linear algebra, applied linear algebra, modern algebra, sequences and series (B+), Stochastic processes (A-), ODES (proof based)
• Stats: Theoretical statistics 1/2, applied regression analysis
• ECON: Econometrics, 2 semesters of advanced micro theory (masters level) 
• CSCI: Intro to Python

 

Coursework (future):

Undergraduate level:

• Real analysis 1/2 (fall,spring), Linear programming and optimization (fall), Applied multivariate methods (spring), Machine learning (spring)

 

Research experiences:

• Currently working on census data proposal with well known econ prof, eventual paper in behavioral economics
• Honors thesis in game theory (very theoretical, basically math and some light machine learning)

 

Research interests:

Machine learning, statistical finance

 

Letters of recommendation: 

1. Very well known econ professor that I worked with on census project

2. Less known econ professor that I worked with on thesis

3. Hopefully a math professor whos class I did well in and will work on project with (he got a stats PhD at Berkeley) but potentially a children literature professor who I wrote a children's book about climate change with. (How bad would this be?)

 

 

Working experiences: Econ RA for about 9 months

 

Skills

Languages: Python, R, Stata

Teaching experience

Nope

 

 

Notes:

Probably are able to tell from profile but making a late switch from econ to statistics. Multivariable calculus B+ came first semester freshmen year when I was young and dumb, hopefully redeemable. My sequences and series B+ is harder to justify but if I get an A in real analysis it might be fine. 

 

Should I be aiming for a masters at his point or a PhD program? I am making a late switch and I am afraid I have not generated enough shown interest in statistics. Eventually I do want to do a PhD so if masters is the route to take what programs would prepare me for a PhD after the fact? 

 

Thank you to anybody who takes the time to respond, I really appreciate it.