Hi all,
If you could please throw at me any acceptance rate estimates for
CMU, MIT, NYU, Columbia, UC Berkeley, andUniversity of Chicago,
I would immensely appreciate it.
Here is my profile:
GMAT - Q50, TOTAL760
Education:
University of California, San Diego
B.S. Mathematics: Probability & Statistics - GPA 3.51
B.S. Cognitive Science: Computation - 3.24
Minor in Economics
Programming background:
Associate Degree in Computer Science from a community college about 6 years ago. I have taken courses in C,
C++, Java, Data structures, and Object-oriented programming about 7 years ago at a community college. Ever since then I had been programing in C,
C++, and VBA on and off.
Extensive professional experience in C, R, Matlab, Java and personal experience in
C++. During the last 2 years, I have been working as a senior algorithms engineer at an internet marketing company where I used R, Matlab, SQL, and Java on a daily basis . I got promoted to senior after one year which I understand is quite fast. In the past, I have completed an algorithm research internship and a statistical analysis internship.
Some of the more shiny projects I have worked on professionally before:
1. A fully bayesian beta-binomial model for click-through-rates that I explored, prototyped, and implemented in R, Matlab, and Java, respectively. I used adaptive rejection sampling and adaptive metropolis sampling within Gibbs sampler to take the sample from the posterior. I automated the generation of a viable sample via raftery diagnostic and tracked markov chain quality via some other diagnostics.
2. Real-time green apple detector from an adaptively-boosted classifier in C using the Open CV library. The detector found centers of green apples using inputs from 24 cameras mounted on a robot.
Math/Finance background:
I have taken Calculus 1, 2, 3 about 7 years ago as well at a community college (and then used toward my BS at UC San Diego). Unfortunately, at the time I had received C, C, B, respectively. Since then, I have taken at University of California, San Diego:
Mathematics:
Financial Mathematics - A
Vector Calculus - A
Ordinary Differential Equations - A
Partial Differential Equations - B
Applied, Numerical Linear algebra - A, A
Numerical Methods - A
Complex Analysis 1 - A
Real Analysis 1, 2 - B, B
Linear Programming - A
Intro to Cryptography - A
Probability/Statistics:
Intro to Probability Theory - B
Stochastic Processes 1, 2 - B, A+
Parametric Statistics - B, A
Non-Parametric Statistics - A
Machine Learning - A, A
Artificial Intelligence - A
Time Series - A
Economics:
Micro Economics 1, 2 - A, A
Macro Economics 1 - B
Econometrics 3 - A+
Financial Markets - C initially, but then took Corporate Finance at UCLA and got A / letter of recommendation
This is all,
Thanks so much,
v
