The analysis project's target audience is any business/ government that is seeking information about the highly air polluted countries and the knock on effects that this pollution has on neighbouring countries/ cities.
Companies that chose to relocate or expand their business need to be aware of the air pollution levels and the risks that come with moving to highly polluted countries. Governments need to be aware of the pollution that is being caused by strong winds carrying the polluted air from one country into neighbouring countries.
The aim of the project is to compare the air pollution data between countries that are highly polluted and countries that are bordering the polluted country. The pollution rates are also compared between cities within the polluted country.
This project provides a statistical analysis on how much air pollution has become an increasing problem in recent years, and is further proven by the covid-19 lockdowns across the different countries against pollution rates before and after the lockdown.
R, Python, Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Trello
BSc in Honours in Computing a final year student currently studying in NCI and specializing in Data Analytics. 5+ years working in product design and manufacture for Allied Retail Innovations & Solutions.
Good relationship management and communication skills, particularly in identifying a goal and the steps required to reach that goal. Personally driven to learn data analysis, both via the college and self-enrolled online courses.
Looking to make a career switch from design and manufacture, into the field of data analytics in roles such as an analyst/ data scientist.