Matthew Carter
Data Analyst
About Me
Most of my academic career has been shaped by those around me. Specifically, I spent a considerable amount of time in boarding school and university college meeting a range of different people from across the globe. During this time I have been fortunate enough to learn how to communicate and cooperate with a large group of contrasting people. In addition to my interpersonal and communication abilities, I have a passion for technology and how it can be used to better our lives. This passion is realized through the considerable amount of my free time I utilize to build personal projects and work within the community. Case studies and competitions are also an interest of mine. Currently I am participating in the Microsoft Protege Competition and was a campus finalist in last year's Good Shepard Microfinance Case Competition.
Portfolio
The title of each project is a hyperlink.
Good Shepherd Microfinance Case Competition
The GMCC provides students with an insight into the world of microfinance and consulting. The case competition was on a live project named
LauchME, a low-interest small loan scheme for low-income care workers who want to start a business.
The role involved determining the location of a new base of operations for the program.
Using ABS census data I create an interactive map (click here) of the target audience's location.
In addition, I created a product development strategy to increase funding, which we called the Bank and Established Business Incentive Scheme.
See the slides to the right for more information.
Skills, such as communication, leadership, and creativity were all utilized in the process in creating this case.
Please note the video of the interactive map was uploaded to a teammate's account, Connor Price, though it is my work.
Data Investigation: How to earn over $50K annually in the US
A personal project of mine which investigates the driving factors in predicting where or not an individual earns above $50,000 annually in the US.
The project determines that your captial gain or positive returns on investments, being married or in a civil partnership and the number of years you spend educating yourself
are the main factors in determining income above $50,000 annually. In addition, there are some interesting interactions between both
capital losses and age, and their effect on my predictions. Click the title of this section for more information.
The project makes use of a XGBoost classifier to construct the model. Permutation Importatance lists, SHAP (SHapley Additive exPlanations) values and
summay plots were used to determine how each feature effects the model's prediction.
Charity
George’s Gents for Lady Lawley Cottage
Last year I was given the opportunity to help raise $36,000 for Lady Lawley, a facility that offers respite care services for children and young adults with a wide range of multiple and complex medical needs. Together with three mates, we braved the 20km race with the hopes of raising some money for those in need, one of whom is a close friend. The challenge involved discipline in training, teamwork in the water and dedication to finish, and was an immensely rewarding experience.
