My work experience includes doing a brief research assistantship for Dr Elona Tosca at the AIDS and Society Research Unit, UCT. Another researcher I’ve worked closely with was Megan Little, founder of Firdale Consulting, under the project titled, The Economics of Tobacco Control Project, at the Department of Economics, UCT. I have also done a bit of data capturing and fieldwork for Thomas Guattari-Stafford & Alicia Nortje (Research consultants) at Mthente Research & Consulting Services (Pty) Ltd. I would also like to add that I have a strong background in the statistical programming environment, especially since the bulk of my training involved some of the most important, cutting-edge methods needed to grasp, reduce, and explain complex data sets. These include software packages such as R, python and SPSS. I have also completed an introductory course on Datacamp (an internet company that offers a wide range of training materials on R) which offers the following courses: Introduction to R, Intermediate R, Introduction to the Tidyverse, Writing functions in R, Data manipulation in R with dplyr, Joining data in R with dplyr, Data visualization with ggplot2 (amongst other things). Outside of the ‘data savvy culture’, I was also employed as full-time teaching staff at the Ronnie Samaai Music Education Project, which is located just outside of Bellville. The project entails music classes every Saturday morning, including practical instrument performance, music literacy and ensemble play. We accept children from the ages of about 7 to 16. It’s worth noting that my development as teacher and mentor has developed significantly since my involvement at RSMEP. Moreover, through the project, I have developed a good repertoire of leadership and mentoring skills, which led me to discover my passion for being a person of service to humanity; not only on a musical perspective but on a personal capacity as well. This meant that I’ve had to expand my role as music teacher and offer consultations after each lesson, provide encouragement and moral support, and refer them for further assistance should they encounter personal challenges both in and outside of the project. One attribute that I find most valuable about myself is the strong value for hard work and the confidence I have in proving my worth. I’m a data-driven person, I solve quantitative problems using evidence-based methodologies, I have a proven track record of writing and presenting large scale data sets; and I have faith in my willingness to engage complex ideas to my peers, colleagues and stakeholders. I accept responsibility most willingly – (all the) moreso that I’m quite knowledgeable and well versed with current issues in the social sciences. In closing, I believe that I am in good academic standing and I do demonstrate the capacity to succeed.