Searchability
Checks whether the resume has readable contact details, clear sections, consistent dates, and scan-friendly structure.
Not a fake 100%. An honest role-match score with real gaps, missing keywords, and the fixes you can actually defend.
No fake testimonials here. The sample scan is the proof: it shows the score, evidence, and exact gaps behind the recommendation.
Large-scale analysis and reporting are demonstrated across eBay, Goldman, Med-kick, and your projects with measurable outcomes.
No bullets mention building, training, validating, or evaluating ML models, which is a core expectation for this role.
A strong bullet needs the method, not only the metric.
The scan answers the real question: what should I fix first, and what should I not pretend to know?
Checks whether the resume has readable contact details, clear sections, consistent dates, and scan-friendly structure.
Compares your resume against the actual job description, so each role can produce a different score.
Separates defensible resume changes from gaps you should not fake in an interview.
The score is useful because it surfaces evidence: readable structure, missing terms, weak placements, and truthful next steps.
We show what your resume already proves, using exact evidence.
We flag keywords that are missing, buried, or too weakly placed.
We warn when a gap should stay honest instead of being stuffed in.
No account needed. Start with a PDF and the job post. The sample scan is there when you want to preview the output first.