ligma2018

If someone can help that'd be great :)

Undergraduate Institution: University of Waterloo Major//Minor: Statistics and Actuarial Science Double Major Cumulative GPA: 81% (A-?) Major GPA: Statistics 84% (A-?) and Actuarial Science 86% (A?) Student Type: International South Asian Male GRE General Test: Not Required Programming Experience: R (can run caret but no Github), SQL, Python (only for basic codes/packages) Research Experience: None Work Experience: 6 actuarial co-op work terms (4 months each). 2 years of full-time actuarial work experience. Professional Designation: ASA (Associate of Society of Actuaries from passing 5 actuarial exams)... looks like it's not gonna help but hey why not. Research Interests: Two different topics in my mind: 1. Using statistical classification algorithms to underwrite insurance customers. 2. Using statistical classification algorithms to detect benign skin pigments from the cancerous one. Publications: None Teaching Experience: None Letters of Recommendation: I'm asking my professors that I received high grades (A+ or A). However, I did not have a lot of conversations with them due to having a mindset of going to the industry right after graduation. Schools: My top choices would be: 1. University of Toronto (super hard to get into as international student, I heard it's a war zone of competition especially for machine learning field). 2. University of Waterloo 3. University of British Columbia, Simon Fraser University and the University of Victoria Thanks for reading!