Portfolio
See below for:
* Certifications.
* Modelling techniques.
* Reports
* Download CV
See below for:
* Certifications.
* Modelling techniques.
* Reports
* Download CV
See google cloud text analysis program
This Google Cloud application I wrote is a Docker app that can be run as a CloudRun service. It will authenticate to one's Google services (GMail or Google Drive) and read a series of documents/emails you specify. It will then conduct a text analysis and cluster the documents into thematic groups. The program generates a series of detailed visualizations and data files that can be downloaded and used for further analysis.
This is a small part of an old research project. Here, I examine and visualize telecommunications patents from the USPTO. This is interesting because it shows the growth of international players, especially the Chinese (Huawei, in particular) over the past 15 years.
Examines changes to people's perception of Huawei.
This shows the economic relationships between different industries in New Zealand and China. The Power BI visualization allows for dynamic exploration of the graph.
I often work with networks. I thought it would be fun to create a dynamic visualization of the economic relationships between industries in New Zealand and China. The visualization uses OECD data from the international input output tables to show those ties.
You can see the dynamic visualization and read more about my process here.
Jupyter notebooks are a popular way to experiment with data and present results to business stakeholders. These two examples show how I used modern machine learning techniques for predictive analytics. In these Coursera examples, I use logistic regression, xgboost and random forest models to model two different example problems:
1) Gaining insight into employee turnover and predicting workers most at risk of leaving the company.
2) Determining which customers are more likely to stop using the Waze driving application.
Invasion earth
This is a fun missile-command clone I whipped up in a couple of hours programming with ChatGPT.
Give it a try. (Opens a new window)
The images were done for free using free prompt-driven AI web sites.
While a Master's student, I worked in the research department at Statistics Canada on LifePaths. I examined how the simulation model's immigrants compared to the experiences of real immigrants using the Census and Labour Force Survey data. The goal was to determine how well the model performed on these new Canadians.
See the report here.
During my Master's I came up with a twist on the traditional shift-share method. Rather than look at changes the level of employment across industries and regions, we looked at the change in occupations across regions. We focused on the regions of Alberta during a resource boom period. Our work resulted in a paper.
Brox, J., E. Carvalho, and J. MacKay. 2010. “Regional Employment Changes in a Booming Resource Economy: A Modified Shift-Share Analogue Regression of Changes in Employment Patterns within the Economic Regions of Alberta.” Canadian Journal of Regional Science 33(2): 25–44.
See my research page for more recent examples.
This is a regional economic analysis conducted after I graduated with my Master's in Economics, but before I started my PhD. My client was the York Regional Municipality in Ontario, Canada. The approach used is shift-share -- a popular approach to measuring regional economic growth. In this report, I measure changes in employment levels across different industries and regions of Ontario.
Here's the report.
