Jordan Bell

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.

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.

• My 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.
• The three courses I taught different versions of were differential equations, linear algebra, and multivariable calculus.