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Hey, I'm a final year undergrad at IIT Kanpur in Stats. I'm planning to apply for programs this year

 

Undergrad Institution: IIT Kanpur (India)

Major: Stats and Data Science

GPA: 8.4/10

Type of Student: International

GRE 170Q 169V

TOEFL 113/120

Relevant courses:
Statistical computing, stochastic processes (A), Statistical inference, Time series analysis, Regression analysis, reinforcement learning (B+)
Analysis, Probability theory (both C+ unfortunately)

Research experience:
Worked for a few months on variational inference at the Uni of Warwick, publication unlikely. Working on learning and regret bounds for contextual bandits with an IITK prof,

Work experience
Quant research internship at a (not very famous) hedge fund

Recommendations
Two from professors at Warwick and one from a prof at IITK I did a couple of courses with. Not really sure about the strength

Research interests
Probabilistic machine learning, Bayesian non-parametrics(GPs, Bayesian optimization, active learning), statistical computing (MCMC, stochastic optimization), reinforcement learning

My top choice PhD programs are Cal, Cornell, Columbia, NYU CDS but seems unlikely I'll get into any of these right now. 

As for why I want to apply to UBC- There are quite a few profs at UBC working in the areas I'm most interested in - Dr Geoff Pleiss, Dr Trevor Campbell, Dr Alexandre Bouchard-Côté, Dr Saifuddin Syed. Plus, research experience and a good GPA in a Masters degree could (?) compensate for my lacklustre undergrad GPA. Also, it's funded unlike most masters programs in the US.

I'd love to have an idea about how competitive my profile is for the Stats MSc and I also wanted to know if there are any other good funded masters programs in Stats. McGill's seems good too but they don't seem to have UBC's depth in these areas in particular.

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