Data Science

Sri-Amirthan Theivendran

adfycl@r.postjobfree.com

H: 416-***-****

C: 647-***-****

Skills Summary

Strong foundations in Python and R as well as Microsoft Excel and Word

Strong foundation in statistics and probability including experience with several machine learning and modelling techniques, (GLMs (Poisson, linear, logistic regressions), GLMMs, Generalized Additive Models, survival analysis, neural nets, classification and regression trees)

Strong experience working with large data sets and strong analytical and communication skills

Working Knowledge of SQL

Actuarial Exams Passed (Three)

Exam P (Probability) (November 2019)

Exam FM (Financial Mathematics) (February 2020)

Exam STAM (Short-term Actuarial Mathematics) (June 2020)

Education

M.Sc. in Statistics, University of Toronto, Toronto, ON, 2018 - 2019

B.Sc. in Mathematics, University of Toronto, Toronto, ON, 2013 - 2018

Specialist in Mathematics and Applications to Statistics and Probability

GPA: 3.82, Graduated With High Distinction

Teaching

Teaching Assistant, University of Toronto, 2017 – 2019

MAT 135/136 - Calculus I

STA 255 - Undergraduate Statistical Theory

STA 257 - Undergraduate Probability and Statistics

Led Problem solving sessions of 25-30 students where I helped students solve problems and held office hours to aid students in understanding material

Awards

NSERC Undergraduate Student Research Award, 2017

Supervisor: Nancy Reid

Showed that her directional test as defined in one of her papers is equivalent to an F-test in certain cases

Recast a new statistical method in terms of an old one

Learned sufficient background to follow Fraser et al (2014)

Resulted in publication two years later

Undergraduate Dean's List Scholar, 2014-2018

Publications

McCormack A., Reid N., Sartori N., and Theivendran S.-A. A Directional look at F-tests, Canadian Journal of Statistics, 2019.

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