Profile Eval: Am I aiming at the right schools?

[bob loblaw]

Here's my profile! Just for context, I'm a few years removed from undergrad and have beefed up my proof-writing background/rigorous math background since graduating.
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Undergrad Institution: UC Berkeley
Major: Statistics || GPA: 3.85
Type of student: Domestic Male, in-state CA student

GRE: Q-166, V-164, W-4.5

Relevant Courses During Undergrad: 
    Math: Linear Algebra - non-proofs (A)
          Single & Multivariate Calculus (A's)
    Stats: Mathematical Stats (A+)
           Time Series Modeling (B+)
           Statistical Learning (A)
           Statistical Computing (A+)
           Linear Modeling (B+)
    Misc: Intro CS (A), EE course in Power Systems Engineering (A), Physics (A's)

Post Undergrad:
    Math: Linear Algebra proof-based (B+, took it 2 years after graduation super rusty)
    Elementary Analysis (A - from UIUC)

Independent Coursework:
    Real Analysis, Group Theory, Introductory Measure Theory with Oxford PhD

Work Experience: 
    2.5 years as a quantiative analyst + data science internship

Research: 
    * 9 months in atmospheric science doing matrix factorization research
    * Working as a data analyst at the CA Dept. of Healthcare Services 
    * 1 independent ML research project with well-known data scientist (PhD from UCSF)
    * 1 publication in a public policy journal as an undergrad. 

Letters: 
    * Former Berkeley Maths Lecturer (DPhil from Oxford)
    * Former Visiting Stats Professor at Berkeley 
    * 1 professional reference

Research Interest: Bayesian Methods, Spatial Statistics, Environmental Statistics

Programs I'm Considering: 
Ideal: UCLA (Biostats or Stats), UCSC, UCD (Stats)
Other: UC Irvine, UCD (Biostats)
Safety: UC Riverside, USC Keck

Edited September 26, 2020 by bob loblaw