Undergrad Institution: Top 50 University (Top 20 Public) Major: Electrical Engineering GPA: 3.6/4.0
Major GPA: 3.0/4.0
Type of Student: Domestic Male
Relevant Courses: Calculus I-III (A), Linear Algebra (A), Intro to Differential Equations (A), Intro to Probability Theory - calculus based (A), Advanced Calculus (A), Real Analysis I (A), Real Analysis II (A-), Topology (A), Measure Theory - graduate (A-)
GRE: Pending, believe it or not (assume an average score)
Programs Applying: Statistics M.S.
Research Experience:
- Two quarters of independent research in computational neuroscience my second year. No publications or presentations, just an informal paper I wrote to my lab. Worked mostly with a postdoc
-Two quarters of (ongoing) statistics research with a distinguished statistics professor at my university. No publications as of yet
Recommendation Letters: Three; one from above statistics professor (at least average, hard to say for sure whether it will be GREAT), and one from a math professor who specializes in machine learning (should be strong)
Coding Experience: R, Java
Applying to: Stanford, Berkeley, Harvard, UCLA, UC Davis, Purdue, UWisc Madison, UColorado Boulder (Applied math - data track), UMich (applied statistics), Ohio State, .... any more suggestions??
Disclaimer: I have one F in an engineering class that I retook for an A-, and another F that I haven't retaken as of yet (contributing to my low 3.0). I dealt with documented health problems my last year which caused me to get university approval to go part time after that second F and played a major role in that second F. That being said, I think my strong math record is directly tied to my deep passion for statistics. In hindsight I might have majored in statistics with a minor in computer science, but engineering has served me well in its own right.
