Hi QuantNet people !
Here's my profile :
GPA : 3.74/4.3, Math major from okay canadian school (completed in 4.5 years instead of 3 due to personnal reasons. Lowish grades during first & second year classes, turned a 2.8 around by litteraly scoring perfect grades on all upper level courses for two years straight)
GRE : 170 Q-160 V
Putnam : 25/120 (I don't know if that's worth mentionning)
Professional/academic experience : 3 internships, two at insurance company with data analysis & statistical analysis in R and Python, one at pension fund, less quant focused by still got good exposure to stochastic based processes and Matlab. Research project on stochastic processes with a prof at my university.
Other programming experience : Top 10/500 at national competition using Python ML and image recognition to analyze financial statements. Contributions to GitHub repos for exploratory analysis of Bayesian models, and TensorFlow (C++).
EC : Math & Music tutor, finance manager for student cafe.
Here's where it gets tricky : even if I aced all upper level courses, I have a D in probability, C in stochastic calculus and B+ grades for all the prerequisites (I have a good explanation for these, but alas). I got A+ in as many advanced classes as I could to make up for them (Advanced Calc, Random walks & graphs, graduate level probability), but it's still a big stain. This is the list of schools I plan on applying to :
Reaches : Chicago, CMU. Targets : NCSU, Minnesota MFM, GIT
I'd be glad to hear what you guys think my chances are.
Thanks !
