Following what's been some really hard years for tech. I built a study to showcase my data science skills attempting to diagnose common denominators in mass layoffs within the tech industry
I'm using the scicloj stack for this.
The study primarily uses data from https://layoffs.fyi/ but I intend to use other data sources in the future.
Here's a list of the questions I am trying to answer with this study:
- What country had the most layoffs?
- What city where the company was HQ'd had the most layoffs?
- What industry within tech had the most layoffs?
- What company had the most layoffs?
- What's the split of layoffs across countries?
- What's the split of layoffs across cities?
- Is there a correlation between central bank announcements(e,g: rates stay the same) and layoff announcements?
- What's the split between core platform(most widely used programming language in the org) and # of layoffs?
- What's the split between PaaS platform(AWS, GCP, etc) and # of layoffs?
- What's the correlation between Glassdoor score & # of layoffs?
- What's the correlation between being a revenue vs investment funded business & # layoffs?
The list may grow but this is a very thorough set of things to go after