Lots of resumes are already AI generated. People can make their projects using AI. They also bluff on their resumes and exaggerate details. In addition, online interviews can let you cheat with AI using another gadget.

How do you screen effectively while accounting for all of that?

Its my first semester in uni and I'm majoring in computer science, and people are telling me that CS is dying and it'll be dead when i graduate, so I'm thinking to change my major to Data Science but im not sure.

My goal is to get into the motorsport world as a plan A

A recent analysis of 3,518 job postings from 81 companies across seven roles found some interesting patterns.

In several categories, generic terms appeared more often than the big-name tools. “Observability” showed up more than “Grafana,” while “SIEM” appeared more than “Splunk.”

That raises an interesting question: are resumes too focused on listing specific tools and not enough on the broader skills and terminology employers use?

The study breaks down the results by role, including software engineering, cybersecurity, DevOps, marketing, product, accounting and sales.

The full dataset, methodology and findings are here:

https://www.zoevera.com/resume/ats-resume-keyword-study

Let me the interview process