


You send application after application for roles you could do, and hear nothing. The screening software is looking for data words and an analyst title, so your engineering resume gets filtered out before a person ever sees it.
The $150 resume rewrite, the AI builder, the template: they made your resume look nicer but never translated your engineering work into the language data jobs hire for. Same silence, less money.
After months of rejection, you start wondering if you need a bootcamp, another degree, or to start over at entry level. The worst part is watching the people around you stop believing it's going to happen.
The 150-pair dictionary turns your engineering work into the exact words data jobs screen for. Your resume stops getting filtered out and starts reaching the people who hire. The 10-minute Leak Audit shows you exactly where you've been losing them.
The Tailoring System makes AI interview you first, then write only from your real experience, so no two applications sound generic. After that, tailoring each new application takes about 12 minutes, not a whole evening.
No bootcamp, no new degree, no starting over. In 14 days you rebuild your resume around experience you already have, and the 30-Second Translation gives you a confident answer the moment they say "tell me about yourself."
Scroll down to see everything you get lifetime access to...

Your experience finally counts: You've been doing analysis for years, but your resume says it in engineering terms, and data recruiters search for data terms. So it gets skipped. Put your work in their words and the callbacks can start.
The 170-Pair Translation Dictionary: 170 engineering-to-data translations pulled from real job postings. "Failure analysis" becomes "root cause analysis." Look up the right words for work you've actually done in seconds, without making it sound bigger than it was.

The Job-Match Advantage: A better resume isn’t just a rewritten resume. It needs to show why your experience fits this particular opening.
The Tailoring System (19 AI Prompts): The Tailoring System walks you through one job posting, helps you find the requirements you can match, and guides you in turning your strongest work into relevant resume bullets. You end up with an application built for that job—not the same general resume sent everywhere.

Stop Guessing What’s Wrong.In 10 minutes, find out exactly why your applications have gone unanswered, so you stop blaming yourself and start fixing the real problem."
The 7-Point Resume Leak Audit: 7 checks you run against the resume you last sent: title line, summary, keyword count, bullet endings, tools section, proof link, and format. The workbook scores it for you. Five or more leaks means your resume was never being read.
Get Your Data Skills Seen: You fix the exact lines that get you filtered out, and your resume starts getting read by the recruiters hiring data analysts.

Know Your Next Move: No more guessing what to do next or sending application #201 with the same resume. Follow a clear 14-day plan that tells you what to do each day.
The 14-Day Application Plan: A day-by-day plan: audit and extract, sort, translate, build, check every claim, prove, then send 10 translated applications on Day 14. Each day tells you which Tailoring prompt to run, with a by-hand option if you'd rather skip AI.
From Stuck to Sending: In two weeks you go from a resume that isn't getting read to translated applications going out. After that, each new application takes about 12 minutes.

Complete Worked Example — See one engineer’s experience matched to a data job posting and turned into a tailored resume, step by step.
LinkedIn Translation Mini-Kit — Make your headline, About section, and work experience tell the same story as your new resume.
20 More Engineering-to-Data Dictionary Pairs — More ways to describe your experience in the language data employers use, with a focus on project leadership, process improvement, and data-driven decisions.
Quick-Start Video — See where to begin and what to do next, so you can start using the pack without feeling overwhelmed.






You’re an engineer applying for data or analytics jobs, but your resume isn’t getting the callbacks you hoped for.
You’ve done relevant work—like analyzing results, finding patterns, building reports, or improving a process—but you’re not sure how to describe it for the job you want.
You want a done-for-you way to say what you've already done, in the words a hiring manager for a data role expects to see.
You've worked as an engineer (mechanical, civil, electrical, industrial, or similar) and tracked data, ran calculations, or made decisions off numbers — you just never called it "data analysis"
Engineers moving into entry-level data analyst roles without a data-specific degree or title on their resume
Engineers applying to data jobs but getting filtered out because their resume reads like engineering, not analytics
Engineers who need their existing work (specs, measurements, process data, root-cause analysis) reframed in data-analyst language (dashboards, KPIs, insights, SQL-adjacent terms) instead of engineering terms
And so much more!
You don't have the experience but want the title anyway — this product translates real experience, it doesn't manufacture qualifications you don't have.
You're starting from zero and need to build data skills first, not just re-describe skills you already have.
You want someone to write your resume from scratch instead of learning how to translate your own experience yourself.

