Resume

• 16800184

  Neo4j Certified Professional

  Neo4j

  Data Science in Action - Building a Predictive Churn Model

  openSAP

  SAP

• 2018

  Graduate Certificate

  Broad exposure to data analysis from the business perspective

  including SAS and SQL

  marketing and business research

  financial statement analysis

  applications of machine learning

  and data modeling and project methodology (CRISP-DM

  SEMMA

  BPM

  Six Sigma).

  Analytics for Business Decision Making

  George Brown College

• 2007

  Master's degree

  Mathematics

  University of Toronto

• 2004

  Answered questions from elementary and high school students around the world at mathforum.org/dr.math

  Ask. Dr. Math

  Marker for 2013 Canadian Open Mathematics Challenge

  Canadian Mathematical Society

  Statistics

  Machine Learning

  Research

  Data Analysis

  LaTeX

  SQL

  Stochastic Calculus

  Market Research

  Tableau

  Mathematics Education

  Segmentation

  Microsoft Access

  Public Speaking

  Microsoft Excel

  R

  Mathematics

  SAS

  Microsoft Word

  Python (Programming Language)

  Microsoft Powerpoint

  Nonlinear modular Latin queen squares

  Nonlinear modular Latin queen squares

  A summary of Euler's work on the pentagonal number theorem

  Viktor Blåsjö

  Pietro Mengoli's 1650 proof that the harmonic series diverges

  Brett Stevens

  Results for the n-queens problem on the Möbius board

  George E. Andrews

  Euler’s pentagonal number theorem and the Rogers-Fine identity

  Brett Stevens

  Constructing orthogonal pandiagonal Latin squares and panmagic squares from modular n-queens solutions

  A new method for constructing nonlinear modular n-queens solutions

  Qiang Wang

  qiang wang

  Results on permutations with a distinct difference property

  Estimates for the norms of products of sines and cosines

• 2003

  Bachelor's degree

  Mathematics

  Carleton University

  Getting Started with Data Science

  openSAP

  SAP

  Data Science Foundations - Level 2 (V2)

  IBM

  Data Science Foundations - Level 1

  IBM

  Bloomberg Market Concepts

  Bloomberg LP

  Statistics 1: Introduction to ANOVA

  Regression

  and Logistic Regression

  SAS

  IBM Blockchain Essentials

  IBM

  Data Science for Business - Level 1

  IBM

  Data Science for Business - Level 2

  IBM

  IBM SPSS Modeler Essentials - 2017

  IBM

  Hadoop Programming - Level 1

  IBM

  Applied Analytics Using SAS Enterprise Miner

  SAS

  SAS Programming 2: Data Manipulation Techniques

  SAS

  Applied Data Science with Python - Level 2

  IBM

  Python for Data Science

  IBM

  M001: MongoDB Basics

  MongoDB

  Machine Learning with Python - Level 1

  IBM

  Big Data Foundations - Level 1

  IBM

  Hadoop Foundations - Level 1

  IBM

• 1735

  This is the first full English translation of Leonhard Euler's \"De summis serierum reciprocarum\"

  in which Euler proves that 1+1/4+1/9+1/25+...=pi^2/6

  namely zeta(2)=pi^2/6

  and also evaluates zeta(2n) for higher values of n. This is done by applying Newton's identities for the roots and coefficients of a polynomial to the function sin(x)/x and using (i) that we explicitly know the roots of this function (although this was rightly questioned by Nicolaus I Bernoulli

  namely we should rule out that there are complex roots) and (ii) that we know the power series for sin(x)/x. The two mathematical points that need proving for this proof to be unassailable are that Newton's identities can be applied to power series and that the only roots of sin(x)/x are real. These are both true but it was only in the 1800s perhaps as late as Weierstrass that it would even be possible for this proof to be made strict by modern standards.

  Translator: Leonhard Euler

  “On the sums of series of reciprocals”

  Cyclotomic orthomorphisms of finite fields

  Polynomial modular n-queens solutions

  Brett Stevens

  A survey of known results and research areas for n-queens

  Jordan

  Bell

  Consilium Crypto

  Toronto Elite Tutorial Services

  University of Toronto

  Toronto

  Canada Area

  As a capstone project with George Brown College

  worked to clean and feature engineer time series data of cryptocurrency pairs; make descriptive statistics and visualizations of the cleaned and engineered data sets; and build and evaluate predictive models for different target variables. The data cleaning

  transformation

  exploration

  and predictive modeling were done in Python

  in particular pandas and scikit-learn

  and other libraries such as matplotlib.pyplot and Plotly

  tsfresh

  SciPy

  and TA-Lib.

  Data Science Intern

  Consilium Crypto

  Toronto

  Canada Area

  Course instructor for undergraduate mathematics courses at the University of Toronto

  at the St. George campus mostly and also several semesters at the Mississauga and Scarborough campuses.\n\nMy first instructing position was a summer differential equations course

  for which I was the sole instructor of a one section course. I set the syllabus according to the official calendar and past courses and my own instincts

  assigned the textbook and planned and delivered the lectures to over 100 students. I have also been part of teaching teams for multiple section courses

  both when there is a designated senior instructor and when there is a consensus system without a senior instructor. For most courses I have taught I made course homepages and posted practice tests and practice final exams made from scratch; make enough questions and some go into the real exam some go into the practice exam.\n\nThe three courses I taught different versions of were differential equations

  linear algebra

  and multivariable calculus.

  Mathematics Course Instructor

  University of Toronto

  Toronto

  Canada Area

  Tutor

  Toronto Elite Tutorial Services