Daniel Cho
ATS & Data Analyst
Daniel studies how Applicant Tracking Systems parse and score resumes. With a computer science background and years working with resume-parsing data, he breaks down the mechanics — keyword weighting, parsing failures, and match scoring — into plain-English guidance you can act on. His goal is to demystify the 'black box' so candidates stop guessing and start optimizing.
Writes about
Guides by Daniel
Age Discrimination in Resume Screening: What the Data Shows and What to Do About It
A large-scale hiring experiment found older applicants get substantially fewer callbacks than younger ones with identical resumes. Here's what the research actually shows, and which fixes are backed by evidence rather than folklore.
The Workday AI Discrimination Lawsuit, Explained: What It Means for Your Job Search
A federal judge just let a nationwide discrimination case against an AI hiring vendor move forward. Here's what it means if a screening tool has ever rejected you.
How AI Resume Screening Works in 2026 (And How It Differs From a Classic ATS)
The keyword-matching ATS you've read about is only half the picture now. Here's how the newer AI layer actually reads your resume, and the two live lawsuits testing whether it has to explain itself.
Do Resume Keywords Still Matter in 2026? What to Include
Keyword matching didn't die — it changed. What modern ATS software actually scores, and how to choose keywords without stuffing.
The '75% of Resumes Are Rejected by an ATS' Stat: Where It Actually Came From
I traced the most-repeated number in every 'beat the ATS' article back to its source. It isn't a study. Here's what the real research says instead.
What Is a Good ATS Score? (And How to Improve Yours)
What an ATS resume score actually measures, the number you should aim for, and the seven fastest ways to move the needle.
How Does an ATS Work? A Plain-English Breakdown (2026)
What actually happens to your resume after you click 'submit' — the four stages of an ATS, and the myth of the automatic rejection.