
Most data resumes look identical — generic bullets, a tool dump, zero impact. Recruiters spend 8 seconds on yours. Let's make those 8 seconds count.
I've built analytics systems that generated $10M+ in revenue and cut manual effort by 95%. I know how to translate real technical work into a resume that hiring managers actually stop for.
What we'll do together: 📌 Story first — a clear career narrative, not just a job list ⚙️ ATS optimized — right keywords, right structure, passes filters 💥 Impact over tasks — your bullets will have numbers, not just descriptions 🎯 Role-targeted — sharp and specific beats generic every time 🔍 Gap analysis — honest feedback on what's missing before you apply
Best for: data analyst, data scientist, analytics engineer, or ML/AI roles.
You'll leave with a resume that looks like it was written by someone who knows their worth.