Resume Before and After ATS Optimization: 5 Real Cases

Small changes to a resume really do move the needle. “My experience is the same,” people think. But how you present your experience can be the difference between a recruiter seeing you and an algorithm filtering you out.

Below are five real before-and-after cases showing how a resume can be transformed to score significantly higher in ATS filters. For the underlying structure an ATS expects, see the ATS resume template guide. Click any image to open the full PDF.

Case 1: Digital Marketing Analyst

Before

After

The problem

A Canva resume with two-column layout, skill bars, and decorative icons. Visually polished, but the ATS could not read most of the content. The professional objective read: “Proactive professional seeking new challenges.”

What changed

• Converted to single-column layout with no graphics or icons
• Skill bars replaced with a plain-text competencies list
• Generic objective replaced by a keyword-rich professional summary
• Experience rewritten with metrics: “Grew organic traffic 120% in 6 months” instead of “Responsible for the blog”
• Specific tools added: Google Ads, Meta Ads, SEMrush, Google Analytics

Result

The resume went from nearly unreadable by ATS to a content-rich version that mirrors job description language and quantifies impact.

Case 2: Junior Full-Stack Developer

Before

After

The problem

A recent graduate with limited work experience. The resume listed only “Developer — Company X — 2024–2025” with no description. Personal and GitHub projects were absent. Skills appeared in random order with no grouping.

What changed

• Work experience gained descriptive bullets: “Built REST APIs in Node.js/Express connected to PostgreSQL”
• Personal projects added as a dedicated section with tech stack and links
• Skills organized by category: languages, frameworks, databases, tools
• Stack aligned to the target role: React, TypeScript, Node.js, PostgreSQL, Docker, Git
• Irrelevant entries removed; relevant courses added (AWS, Docker)

Result

Detailed descriptions and personal projects compensated for limited formal experience. The ATS can now map every technical skill to the job requirements.

Case 3: Nurse with 8 years of experience

Before

After

The problem

Excessive personal data (national ID numbers, marital status, photo, full address). The professional nursing license number (COREN — Brazil’s nursing council registration) was buried in the page footer, an area most ATS ignore. Work entries listed only “Nurse — Hospital X” with no activity descriptions.

What changed

• Removed ID numbers, marital status, photo, and full address — left name, email, phone, city
• COREN number moved to the top contact section with number and state
• Experience rewritten with responsibilities: “Emergency triage, medication administration, ICU vital signs monitoring”
• Certifications added (BLS, ACLS) in the education section
• Job-description keywords incorporated: electronic records, shift scheduling, patient care

Result

Leaner on unnecessary data, richer on professional content. The license number is now parsed by ATS, and detailed experience surfaces domain-specific competencies.

Case 4: Intern (first job)

Before

After

The problem

A university student with no professional experience. The resume was nearly blank: personal data, ongoing degree, and “Objective: seeking an internship opportunity.” No skills, no projects, no extra courses.

What changed

• Academic projects added as experience: thesis, group work, research
• Volunteer work included with activity descriptions
• Online courses added: Advanced Excel, Basic Python, Digital Marketing (Coursera, Udemy)
• Technical and transferable skills listed: Excel, PowerPoint, communication, teamwork
• Professional summary written targeting the desired area and transferable skills

Result

A resume that was previously empty now has real content for the ATS to analyze. Even without formal experience, projects, courses, and skills give the AI enough to find compatibility with the role.

Case 5: Career change (Sales → Data)

Before

After

The problem

A professional with six years in sales wanting to move into data analysis. The resume was entirely sales-focused — no mention of data, analysis, or technical tools, even though the person had already completed relevant courses and personal projects.

What changed

• Professional summary rewritten for the target field: “Sales professional transitioning to data analysis, with 6 years using data to drive decisions”
• Sales experience reframed analytically: “Analyzed sales metrics in Excel and CRM to identify growth opportunities”
• Personal projects section added: Power BI dashboards, Python exploratory analysis, Google Data Analytics Certificate projects
• Technical certifications highlighted: Google Data Analytics, SQL (HackerRank), Python for Data Analysis
• Skills reorganized: SQL, Python, Power BI, Advanced Excel, data storytelling

Result

The resume shifted from “salesperson” to “data analyst in training with a sales background.” Prior experience was reframed analytically, and projects and certifications bridge the gap in formal data experience.

What all five cases have in common

1. Simple format: single column, no graphics, no tables, selectable text.
2. Specific content: detailed experience with tools, metrics, and concrete responsibilities.
3. Job description keywords:the posting’s language appears naturally throughout the resume.
4. Tailored summary: each version has a professional summary written for that specific role.
5. No unnecessary information: no ID numbers, photos, or excessive personal data.

Test your resume’s ATS score for freeto see where it stands today. If you’d rather have the optimization done for you, AjustaCV delivers a job-tailored, ATS-ready version for R$7,80.