Short project to analyze software engineers at Google.

Data Sources:

• LinkedIn
• Google

Code Files:

• LinkedInScraper.py: main file for scraping LinkedIn
• Locator.py: Finds locations of places
• DataCleaner.py: Does additional cleaning of data
• Untitled.ipynb

Data Files:

• education.csv: education data
• experiences.csv: work experience data
• datasets_23752_30346_countries of the world.csv: Countries of the world data

Libraries Used:

• Selenium
• Pandas
• Plotly

Motivation:

To understand the backgrounds of software engineers at Google

Summary of results:

Of this random sample of software engineers at Google:

1. The majority have at least a Master’s degree
2. They study CS
3. The vast majority are not American

Blog post:

https://medium.com/@cosmos1990/what-are-the-backgrounds-of-software-engineers-at-google-5edee41d37e6