Data Science Researcher

Data Sciences Institute, University of Toronto

As a data science researcher at the Data Sciences Institute at the University of Toronto, I have had the opportunity to work on a project that aims to understand disparities in climate-induced health outcomes in the Greater Toronto Area.

​

To tackle this problem, I have used a range of analytical techniques, including exploratory analysis, data visualization, and regression analysis. I have analyzed trends in temperature and pollution levels in Toronto over the past 20 years, with a focus on understanding the impacts of different pollutants on the health of the Toronto population.

​

This research project has allowed me to develop valuable skills in data science, including programming in Python and R, exploratory data analysis, data cleaning, regression analysis, data visualization, and data collection and analysis. I am proud to be contributing to important work on the impacts of climate change on public health and to be helping to address this critical issue.