Alexander Nazareth

MSc Student, Ryerson University

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About This Site

I built this website in order to summarize my experience while showcasing some beginner HTML skills that I am learning. Thanks to W3 School's CSS templates and their awesome tutorials on which I have come to rely whenever I need to learn a new language. Also thanks to Github Pages for hosting my website!

Technical Skills


code

Python, Java, R

SQL Server, Oracle Database

Microsoft Office Suite

Tableau, SAS, Matlab

Accomplishments


grade

MSc Applied Math (exp. 2021)

BSc Math & Computer Science, Co-op (2019)

Dennis Mock Award for Leadership (2019)

Certificate in Data Analytics (2018)

Work Experience


work_outline

Graduate Assistant (Ryerson University, 2019-)

Big Data Developer Co-op (Bank of Montreal, 2018)

App Software Developer Co-op (Bank of Montreal, 2017)

Sports Analytics Co-op (Canadian Tire Bank, 2017)

Relevant Courses

A selection of courses from BSc and MSc relevant to my current area of study.

Course Grade Level Topics
AM8209 Modeling and Searching Networks A+ Graduate Complex Networks, Cops & Robbers, Meyniel's Conjecture
AM8204 Topics in Discrete Math A- Graduate Probabilistic Graph Theory, Tournaments, Moment Methods
AM8102 Advanced Numerical Methods A+ Graduate Computational Precision; Numerical Methods for ODEs/PDEs
AM8002 Discrete Mathematics A+ Graduate Linear Programming, Duality Theory, Problem Relaxation
AM8101 Principles and Techniques in Applied Mathematics A+ Graduate Asymptotic Expansion, Eigenfunction Expansions, Fourier Transforms
CIND719 Big Data Analytics Tools A+ Undergraduate NoSQL, Hadoop, Hive, Pig, Spark
CMTH642 Data Analytics: Advanced Methods A Undergraduate Clustering, Classification, NLP, Regression, Time Series
CPS721 Artificial Intelligence A+ Undergraduate Bayesian Statistics, Constraint Satisfaction, Planning

Courses Taught (GA)

Courses for which I was a Graduate Assistant (GA) during my MSc at Ryerson University.

Course Supervising Professor Semester Topics
MTH719 Applied Linear Algebra Dr. Yu Winter 2021 Vector spaces, computational complexity, numerical techniques, eigenvalues and eigenvectors, singular value decomposition, linear transformations.
MTH425 Differential Equations and Vector Calculus Dr. Yu Fall 2020 Higher-order linear DE's; Laplace Transforms and ODEs; scalar and vector functions and fields; directional derivative; divergence and curl of vector fields; line, surface and multiple integrals; Green's and Stokes' theorems.
MTH140 Calculus Dr. Horowitz Fall 2020 Limits; continuity; differentiation; extrema; inflection points; asymptotes; applied max/min problems; related rates; integrals; Fundamental Theorem of Integral Calculus.
MTH141 Linear Algebra Dr. Wang Winter 2020 Systems of linear equations and matrices; determinants; vector spaces; inner product spaces; eigenvalues and eigenvectors
MTH110 Discrete Mathematics I Dr. Danziger Fall 2019 Propositional and predicate logic; notation for modern algebra; naive set theory; relations; functions and proof techniques.
MTH131 Modern Mathematics I Dr. Lan Fall 2019 Limits, continuity, differentiation, Newton-Raphson method, integration, Fundamental Theorem of Calculus.