Calibrated for
Amazon

Every company reads a resume differently.
Yours should read like theirs.

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Business Analyst · New Grad / Entry Level

calibrated

Your line

Conducted market research on 3 potential segments to support strategic decision-making for a $12M retail client.

Calibrated for Amazon

Owned the market-entry call for a $12M retailer, sizing 3 adjacent segments and taking the analysis from an open question to a single recommendation defended in front of the owner.

Same facts, same numbers, same length. Only the framing changes.

Calibr users landed interviews at

Every company hires in its own language.Nike doesn’t read a resume the way Goldman does.Calibr makes yours speak each one’s.

The result

One resume, any company.

Same experience. Same facts. Same length. Five companies, five ways of saying it.

Your resume

EXPERIENCE

Target

Minneapolis, MN

Merchandising & Operations Intern

Summer 2025

  • Analyzed sales and inventory data across 6 departments, contributing to a 12% reduction in overstock.
  • Created a weekly report for key stakeholders to track store performance, saving roughly 5 hours per week.

Halstead Group · Marketing Agency

Chicago, IL

Marketing & Operations Intern

Spring 2025

  • Assisted in the development and execution of digital marketing campaigns for 8 small business clients.
  • Reviewed campaign performance data and provided recommendations that improved client engagement by 30%.

Illinois Business Consulting

Champaign, IL

Student Consultant

2024 – 2025

  • Conducted market research on 3 potential segments to support strategic decision-making for a $12M retail client.
  • Utilized insights from 15 customer interviews to provide recommendations on the client’s pricing strategy.

Calibrated for Amazon, Business Analyst

Try it on your own resume.

Pick a company. Watch your own bullets change. No signup, no card.

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How it works

Inside a single
calibration.

Researches the company

Calibr pulls the company’s real bar. For Amazon, that’s the Leadership Principles its screeners hire against, plus the phrasing that quietly gets a resume cut.

Other tools rewrite from the job posting, so everyone lands on the same buzzwords. Calibr reads the company itself.

What Calibr read about Amazon

researched live

What its bar-raisers reward

OwnershipDeliver ResultsDive DeepCustomer obsession

What gets downgraded

Phrasing that fits any companyA result with no owner behind it
Amazon Leadership Principles·jobs.amazon.com

Learns what actually worked

It cross-checks bullets that landed real interviews and offers at Amazon for this exact role, so the rewrite is grounded in outcomes, not guesses.

Not a keyword match score no recruiter ever sees. Calibrated to how the company really hires.

Bullets that landed Amazon offers

verified

Owned a pricing experiment end to end, shipping the variant that lifted conversion 8%.

Amazon · Product Manager · accepted offer

Dug into 2M+ support tickets to cut repeat contacts 15%.

Amazon · BizOps · accepted offer

Matched on company + role, from real outcomes.

Rewrites every bullet

Each line is reframed to lead with ownership and a result, so it visibly reflects a principle the company hires for. Your numbers, titles, and dates never change.

It never invents metrics or titles to look impressive. Your facts stay yours, and you see every change.

One line, calibrated

Your line

“Collaborated with cross-functional teams to improve the signup flow, reducing user drop-off by 22%.”

Rewritten

“Owned the signup-flow rebuild that cut activation drop-off 22%.”

Now reflectsOwnershipDeliver Results
Interview-safe

See what changed.
And what didn’t.

Calibr rewrites the language, never the facts, so everything on your resume is something you can own in the room.

What it rewrites

  • Weak verbs → the company’s ownership language
  • Generic framing → what screeners reward
  • The order and emphasis of your bullets

What it never touches

  • Your numbers and metrics
  • Titles, employers, and dates
  • Anything it can’t verify from your resume

Calibrated for Google

Built the experiment behind a 15% lift in signups, owning it end-to-end.”

Rewritten in their languageYour facts, the 15%, untouched

Beyond the calibration. Where you stand, what to fix, where you’ve applied.

Know where you stand.A calibrated read on your fit with this company, in plain English. Guidance, not a magic number.

62/100

Approaching

↑ +10 pts

The resume is well-written and shows genuine analytical range, but with zero finance, valuation, or deal-adjacent experience it lacks the core signals BofA IB screeners require to advance a candidate to interview.

+26pts

Profile Booster

Highly competitive

Reach 88/100 if all actions done

Dimension Breakdown

Role & Experience Relevance

13/30

Presentation & Formatting

5/10

Bullet Quality

19/25

Language & Alignment

12/15

Profile Completeness

13/20

Know what to fix.Prioritized moves with point estimates. Quick wins first, longer plays after.

Profile Booster

+26 pts potential

Complete these actions to reach 88/100. Points are estimated from the same scoring pass.

EXPERIENCE

Medium-term+7 pts

Add a Finance-Specific Role or Deal-Adjacent Project

Join Emory's investment banking club, a student-run PE/VC fund, or a case competition with a live deal component.

Pursue a part-time or virtual IB/PE internship to generate a transaction-adjacent bullet.

Recruiters need at least one experience line that signals deal exposure; currently zero exist on this resume.

SKILL

Medium-term+8 pts

Build and Showcase a Financial Modeling Portfolio

Complete a DCF, LBO, and comparable company analysis model using public filings; post to GitHub.

Enroll in Breaking Into Wall Street or CFI's FMVA to earn a verifiable modeling credential within 8 weeks.

BofA IB screeners filter for modeling literacy first; without it, analytical experience is discounted heavily.

SKILL

Quick win+3 pts

Expand Skills Section with Finance and Technical Tools

Add Excel (Advanced/VBA), PowerPoint, Bloomberg Terminal, and Python/SQL if used in data roles.

Every application, one board.Status, stage, and deadlines for each calibration. No spreadsheet.

Applications

8

TOTAL

3

APPLIED

2

INTERV.

1

OFFERS

1

REJECTED

COMPANY / ROLE

STATUS

APPLIED

DEADLINE

Bank of America

Enterprise Credit Analyst

Applied

Jun 17

Jul 29

McKinsey & Company

Business Analyst

Rejected

Jun 17

Aug 16

Salesforce

Assoc. Product Manager

Interviewing

Jun 17

Aug 30

Capital One

Business Analyst

Applied

Jun 17

Sep 14

Accenture

Business Analyst / Analyst

Interviewing

Jun 6

Sep 20

DoorDash

Assoc. Product Manager

Offered

Jun 5

Oct 12

From “same resume everywhere” to first-round.

Sent the same resume to like 30 places and heard basically nothing. Ran it for Stripe and it showed me why my bullets were getting skipped. Same experience, just finally readable.

KL

Kevin L.

A friend who got into Bain told me my resume sounded like everyone else’s. I didn’t really get what she meant until I saw the rewrite. A little embarrassing how much better it was.

PS

Priya S.

I was going for brand roles and my resume felt flat. It reframed my internship around what the company actually looks for. The numbers didn’t change, it just sounded like me on a good day.

HW

Hannah W.

Wasn’t sure it would get a healthcare role, but it pulled the right language for it. And it didn’t invent anything, which is what I was actually worried about.

EN

Emily N.

Non-target, kept getting auto-rejected. Redid my bullets in the company’s own language and actually started hearing back.

JM

Jordan M.

Sent the same resume to like 30 places and heard basically nothing. Ran it for Stripe and it showed me why my bullets were getting skipped. Same experience, just finally readable.

KL

Kevin L.

A friend who got into Bain told me my resume sounded like everyone else’s. I didn’t really get what she meant until I saw the rewrite. A little embarrassing how much better it was.

PS

Priya S.

I was going for brand roles and my resume felt flat. It reframed my internship around what the company actually looks for. The numbers didn’t change, it just sounded like me on a good day.

HW

Hannah W.

Wasn’t sure it would get a healthcare role, but it pulled the right language for it. And it didn’t invent anything, which is what I was actually worried about.

EN

Emily N.

Non-target, kept getting auto-rejected. Redid my bullets in the company’s own language and actually started hearing back.

JM

Jordan M.

I put “helped with” on basically every line. It caught that right away and made me own my own work. Kind of a wake-up call honestly.

DF

Diego F.

Applied to Google with what I thought was a strong resume. It changed almost nothing factually and it still read completely differently. Got the screen.

SR

Sofia R.

Figured it was just ChatGPT with extra steps. But it actually researches the company first, so the changes were specific instead of generic. That’s the part that got me.

MT

Marcus T.

The best part wasn’t even the rewrite. It was seeing what changed and why, so I could explain every line in an interview.

DK

Daniel K.

I put “helped with” on basically every line. It caught that right away and made me own my own work. Kind of a wake-up call honestly.

DF

Diego F.

Applied to Google with what I thought was a strong resume. It changed almost nothing factually and it still read completely differently. Got the screen.

SR

Sofia R.

Figured it was just ChatGPT with extra steps. But it actually researches the company first, so the changes were specific instead of generic. That’s the part that got me.

MT

Marcus T.

The best part wasn’t even the rewrite. It was seeing what changed and why, so I could explain every line in an interview.

DK

Daniel K.

Pricing

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Unlimited for the season.

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  • 5 calibrations to try, then 2 free every week
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Season Pass

Season sale

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one-time, 90 days unlimited

  • Unlimited calibrations for a full recruiting season (90 days)
  • Any company, any role, no weekly limit
  • Everything in Free, nothing held back
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Monthly

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per month, cancel anytime

  • Unlimited calibrations, no weekly limit
  • Billed monthly, cancel anytime
  • Everything in Free, nothing held back

Common questions.

ChatGPT doesn't know how Goldman evaluates IB analysts vs. how Google evaluates SWEs, and you'd have to know exactly what to prompt for. Calibr researches each company's actual hiring signals first (their language, values, and what gets callbacks), rewrites your resume to match, and shows you exactly what changed and why, so you can trust every line.

Never. Your metrics, titles, and facts stay exactly as you wrote them. Calibr only changes the framing and language, the way a great career coach would. If there's nothing to quantify, the bullet ends at the action.

Calibrated stays close to your original scope, rewritten in the company's language, so it's ready to submit as is. Ambitious pushes each bullet to its strongest defensible framing for more reach, so review each line before sending. Either way, Calibr never changes your facts, numbers, titles, or dates, only how the work is framed.

Calibr researches each company live: its postings, public materials, values, and the language it hires in. Major firms get curated hiring-language profiles on top of that, and outcomes contributed by real candidates strengthen the picture as that corpus grows.

Your resume is used only to run your calibration. It's never shared, sold, or used to train models. You can delete your data at any time from your account settings.

Yes. 5 free calibrations to try, with no signup or credit card, then 2 free every week on a free account. For unlimited, the Season Pass covers a full recruiting season for a one-time $19 (recruiting-season sale, regularly $29), or go monthly at $9/mo.

Any company you can name. Big names like Google, Meta, McKinsey, and Goldman Sachs get curated depth; everyone else gets live research.

Still curious? See all FAQs →

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