I graduated this June, currently working as a software developer at a top 5 bank. I'm interested in doing research in bayesian statistics / nonparametric statistics. Something bad happened in my first year so I got only ~3.8 in first two years of uni. 
	 
	
		Undergrad Institution: Canada top 3 
		Major(s): Statistics 
		Minor(s): Computer Science GPA: 3.89(last two years 3.97)
	
	
		Type of Student: Asian Female  GRE General Test:  
		Q:165 V: 161 W: 4.0
	
	
		 
	
	
		Applying to: Statistics PhD
	
	
		 
	
	
		Research Experience: One year at a relatively large hospital, worked mainly with logistic regression, co-authored an abstract. Other than that I do not really have much research experience.  I have several bayesian course based projects.
	
	
		Letters of Recommendation:  Probably a decent one from summer reading on math. One from AP teaching ML(got 99). I am hesitating between a prof who Ive taken course with, or my hospital research prof. Neither of them knows me well, but the former is a COPSS winner while the latter is from the only research I've done.
	
	
		 
	
	
		Math/Statistics Grades:  
	
	
		1st year: Real Analysis(B+), Linear Algebra I(A+), Linear Algebra II(A)
	
	
		2nd Year: Advanced Cal(A-), and probability I(A+), Prob II (A-), 
	
	
		3rd Year: Stochastic Process(A+),  Spatial Stat(A), ML I(A), Applied Stat(A+) 
		4th Year: Stat Computation(A+), Multivar Data(A), Mathematical Stat I(A), Mathematical Stat II(A+), ML II(A+),
	
	
		And a bunch of CS courses: Neural Network, Database, Algorithm, etc, at least A Planning on Applying to: 
	
	
		Duke, UCLA, UW, UPENN, UNC Chapel Hill
	
	
		 
	
	
		What are my chances of getting into some of these schools, and what are some other schools I should look at? Thanks for your help!