David Pham’s Digital Curriculum Vitae
This page contains all my work and project history.
If you would like to see my actual resume, you can view it here.
Education
Sep 2018 - June 2022
University of Toronto (St. George)
HBSc. Mathematics and Statistics Specialist
Campus Involvement:
Events and Logistics Coordinator
University of Toronto Vietnamese Students Association
- Collaborated with 20 executives among 5 sub teams to facilitate and successfully organize 12 bi-weekly social, cultural, and academic events for 250+ club and community members
- Responsible for micromanaging all detailed event logistics including event itineraries, inventory lists and executive roles to plan official social gatherings that incorporate safe and inclusive practices
Experience
Oct 2022 - Present
Bilingual Data Analyst
Council of Ministers of Education, Canada
Jan 2022 - Apr 2022
Research Assistant (Statistics Education Developer)
University of Toronto Department of Statistical Sciences
- Planned and developed a statistics-themed virtual escape room for UofT’s Department of Statistical Sciences (DoSS) to promote statistics education by using R, Zoom, and Gather Town
- Created social media content around ethical practice and statistical literacy resulting in over 3500 impressions and 400 combined engagements from UofT’s DoSS pages
- Coordinated with professors and 29 other research assistants as a team to ensure smooth release of posts and delivery of the escape room
Aug 2021 - Apr 2022
Peer Mentor (STA130 Mentorship Program)
University of Toronto Department of Statistical Sciences
- Led one-on-one meetings with up to 60 mentees to talk about navigating life in university, as well as discussing their academic goals and objectives
- Established positive and professional mentoring relationships with students, and maintained a 100% satisfaction rate
- Collaborated with other mentors to help plan and facilitate social events to encourage community building and offer academic/career-oriented advice
May 2021 - Sep 2021
Research Assistant
University of Toronto
- Assisted a sociology professor in his research regarding work, stress, and health among Canadians, with special attention to the effects of the pandemic
- Used Python libraries such as NumPy and pandas, as well as Excel to analyze, categorize, and visualize open-ended survey data with over 3000 entries about Canadians working from home during COVID-19
- Visualized findings with statistical tables using Excel and R, and presented summaries in a concise manner
Jan 2018 - Nov 2019
Tutor
- Planned and organized 1-1 tutoring sessions to high school students and people all over the world
- Used a variety of teaching methods depending on individual student learning style, including online video calls, in-person lessons, and YouTube videos with ~700 cumulative views
- Composed and produced classroom material, lesson plans, and mock homework/exams for topics such as intro to programming, discrete mathematics, and algebra
Apr 2019 - Aug 2019
Lead Attendant/Housekeeper
Canadian National Exhibition
- Managed a team of 6 to help maintain the exhibition grounds by effectively communicating required tasks, coordinating with other sub teams, and upholding professionalism
- Constantly switched between tasks including waste management, housekeeping, supervising, surveying the grounds, and helping customers
- Reported daily progress and check-ins to lead supervisors in an organized fashion
May 2017 - Sep 2017
Software Engineer (Co-op)
HipPOS Software Inc.
- Utilized quality assurance testing methodologies such as non-functional/acceptance testing to identify, document, and report bugs in the point-of-sale software
- Worked with off-site teams to complete timely tests and ensure smooth product releases
- Developed a web portal for cloud-based error logging/debugging by using the ASP.NET MVC design pattern in C#
Projects
(Please click the hyperlinks to view my work.)
Independent Readings Course – Ethical Practice for Statisticians
- Was selected to be 1 of 3 students to explore the misuse of statistics in the scientific community and everyday media consumption
- Wrote a 9-page educative piece using RMarkdown to spread awareness of statistical literacy and ethics, and used Zotero + BiBTeX to manage references
- Conducted seminars and research presentations for cohort to synthesise findings and key ideas from a large range of sources
Statistical Analysis of Gender Parity (R)
- Worked in a group of 4 for a school project as a consulting firm to assess gender parity in hiring, wages, and promotions for a fictitious software company
- Merged and wrangled large datasets to create data visualizations and summaries using dplyr and ggplot2
- Used judgment to choose appropriate generalized linear (mixed) models, checked their assumptions, and justified the selection in confidence intervals and significance testing
- Balanced the workload as a team and created a seamless report with reproducible code by using RMarkdown
- Liza Bolton (my past instructor for STA303) summarizes the project very well here:
League of Legends Data Analysis (R, Python)
- Made a report trying to establish a relationship between rank in League of Legends and predictors such as total number of games played, wins, summoner level, etc. using linear regression
- Used Python libraries NumPy and pandas to extract and organize over 1000 entries from the Riot API, and used R to conduct regression analyses
- (The first version/attempt of my report has been completed, but I am refining the methods and procedures to make a second part.)
Report on the Effect of Mortality Rate and Alcohol Consumption Using RDD (R)
- Individual school project aimed to replicate and extend Carpenter’s and Dobkin’s 2009 study on mortality rate and alcohol consumption
- Applied linear and quadratic regression discontinuity methods, using minimum legal drinking age as the threshold
- Used dplyr and tidyverse to clean data, and ggplot2 + knitr to visualize and present results.
Data Visualization for COVID-19 Cases in Toronto (R)
- Extensively used tidyr and dplyr libraries to wrangle, parse and transform real-time data from the City of Toronto website on COVID-19 cases in all 140 neighborhoods for a school assignment
- Used ggplot to visualize daily cases, outbreak types, and thematic maps that illustrate the percentage of low-income families and the proportion of COVID-19 cases by region
Comparing Complex Multiple Linear Models for Toronto and Mississauga House Prices (R)
- Implemented multiple linear regression in order to help home buyers predict sale price of homes in the GTA for a school assignment
- Analyzed diagnostic plots and used the Akaike/Bayesian information criterion for optimal probabilistic model selection
Technical Skills
I am comfortable with the following languages/applications:
- Python (NumPy, pandas)
- R (dplyr, tidyverse, ggplot2, knitr)
- Git/GitHub
- HTML & CSS
- SQL
- Tableau
- Microsoft Excel and Access
Relevant Courses
Here is an exhaustive list of relevant courses I have taken:
- CSC108 (Intro to Programming)
- STA130 (Statistical Reasoning)
- MAT137 (Calculus!)
- CSC148 (Intro to Computer Science)
- CSC165 (Mathematical Expression & Reasoning for Computer Science)
- MAT223 (Linear Algebra I)
- MAT224 (Linear Algebra II)
- MAT235 (Multivariable Calculus) (I love you, Professor Leonard.)
- MAT244 (Ordinary Differential Equations)
- MAT246 (Abstract Mathematics)
- STA257 (Probability & Statistics 1)
- STA261 (Probability & Statistics 2)
- MAT301 (Groups and Symmetries)
- STA302/1001 (Methods of Data Analysis I)
- STA303/1002 (Methods of Data Analysis II)
- STA304/1003 (Surveys, Sampling and Observational Data)
- STA305/1004 (Design and Analysis of Experiments)
- MAT334 (Complex Variables) (I love you, Petra Bonfert Taylor and CrystalMath.)
- STA347 (Probability Theory I)
- FSL421 (French IV)
- STA437/2005 (Methods for Multivariate Data)
- STA457/2202 (Time Series Analysis)
- MAT337 (Intro to Real Analysis)
- APM462 (Nonlinear Optimization)
- STA442/2101 (Methods of Applied Statistics)
- STA497 (Readings in Statistics) with Professor Liza Bolton. Thanks, Liza!!! :)