Choose from a wide range of CV templates and customize the design with a single click.


Use ATS-optimised CV and resume templates that pass applicant tracking systems. Our CV builder helps recruiters read, scan, and shortlist your CV faster.


Use professional field-tested resume templates that follow the exact CV rules employers look for.
Create CV

Use professional field-tested resume templates that follow the exact CV rules employers look for.
Create CVCreating a resume with examples is not about copying templates. It is about understanding how hiring decisions are actually made and then structuring your resume to win against other candidates.
Most resumes fail not because of lack of experience, but because they are poorly positioned, generic, and lack measurable impact.
This guide shows you exactly how to create a resume from scratch, with real examples of what works vs what gets ignored.
Before writing anything, understand this:
Recruiters scan resumes in 6–10 seconds.
They are not reading everything. They are looking for:
Clear role identity
Relevant experience
Measurable results
Signals of seniority
If those are not immediately visible, your resume is rejected.
Your resume is not a career history document. It is a positioning document.
Target job title
Industry context
Level of seniority
“Looking for opportunities in business, marketing, or management”
“Marketing Manager specializing in performance marketing and revenue growth for SaaS companies”
Clarity wins. Vagueness kills your resume.
This is the first thing recruiters read.
Role + specialization + experience + impact
“Motivated professional with strong communication skills”
“Software Engineer with 5+ years building scalable backend systems, reducing system latency by 40% and improving platform performance for high-traffic applications”
The difference is specificity and measurable value.
This section supports ATS and recruiter scanning.
Technical skills
Tools
Methodologies
Domain expertise
Python, Java, SQL
AWS, Docker, Kubernetes
Microservices Architecture
Agile, Scrum
We match this section directly against job requirements.
This is the most important section.
Action + Context + Result + Metric
“Handled customer service inquiries”
“Resolved 150+ customer inquiries weekly, improving customer satisfaction scores by 25% and reducing response time by 40%”
Impact beats activity. Always.
Metrics separate top candidates from average ones.
Revenue growth
Cost savings
Efficiency improvements
Conversion rates
Time reductions
“Improved sales performance”
“Increased quarterly sales by 32%, generating $1.2M in additional revenue”
Header
Professional Summary
Skills
Experience
Education
Certifications
Bullet points (1–2 lines max)
No dense paragraphs
Consistent spacing
Top candidates never send the same resume twice.
Summary
Keywords
Bullet points
Match the top 5–7 requirements in the job description.
“Worked on multiple projects”
“Led 5 cross-functional projects, delivering results 20% ahead of deadlines”
“Responsible for marketing campaigns”
“Managed marketing campaigns generating 45% increase in qualified leads”
“Experienced professional seeking opportunities”
“Data Analyst specializing in predictive analytics and business intelligence for retail environments”
CANDIDATE NAME: Michael Thompson
TARGET ROLE: Senior Data Analyst
LOCATION: Chicago, IL
PROFESSIONAL SUMMARY
Senior Data Analyst with 7+ years of experience transforming complex data into actionable insights. Specializes in predictive modeling, data visualization, and business intelligence, driving measurable improvements in revenue and operational efficiency.
CORE SKILLS
SQL, Python, R
Tableau, Power BI
Data Modeling
Predictive Analytics
Business Intelligence
PROFESSIONAL EXPERIENCE
Senior Data Analyst | DataCore Inc. | 2020–Present
Developed predictive models improving sales forecasting accuracy by 35%
Automated reporting processes reducing manual work by 50%
Delivered insights contributing to $3M in revenue growth
Data Analyst | InsightWorks | 2017–2020
Built dashboards improving decision-making speed by 40%
Analyzed customer behavior increasing retention by 20%
EDUCATION
Bachelor of Science in Data Science
CERTIFICATIONS
Recruiters look for growth:
Promotions
Increased responsibility
Larger impact
Led
Built
Optimized
Scaled
Not just tasks, but outcomes.
Define target role
Analyze job descriptions
Write summary
Build skills
Draft experience
Add metrics
Improve readability
Align keywords
Customize per job
Highlight relevance
From real hiring experience:
A strong resume:
Is clear within seconds
Shows measurable impact
Matches the role precisely
Feels stronger than competing candidates
A weak resume:
Is vague
Lacks results
Feels generic
Requires effort to understand
Is your role clearly defined?
Do you show measurable results?
Is your resume easy to scan?
Does it match the job description?
Does it outperform similar candidates?