Resume Writing Guide
Entry Level Resume — How to Write One When You Have No Experience
No work experience does not mean no resume. It means you need to structure what you have — projects, internships, coursework, and skills — in a way that shows you can produce, not just study.
The entry-level resume problem is not lack of content — it is lack of structure. Most entry-level candidates undersell their projects, skip their skills section, and bury their strongest credential under a weak summary. This guide fixes all three.
- Entry-level resume structure — section by section
- Projects section — the most underused section
- Skills section strategy for ATS keyword matching
- How to write internship bullets with no numbers
- Education formatting — what to include and exclude
- The one-page rule — why it matters and how to hit it
Entry-level resume structure — section by section
The order matters. For entry-level candidates, education comes first. Everything else builds the case that you are ready to contribute now.
1. Summary (2–3 sentences)
Brief, specific, and forward-looking. State your field, your strongest technical credential, and what you are targeting. Entry-level summaries should be shorter than mid-level ones — 2 sentences is often better than 3.
"Recent computer science graduate with 2 internship terms building full-stack web applications in React and Node.js. Targeting front-end or full-stack engineering roles at product-focused companies."
2. Education
List degree, institution, graduation year, and GPA if above 3.3. Add relevant coursework if the course titles are specific and meaningful — "Machine Learning," "Distributed Systems," "Financial Accounting" — not "Business 101."
- Include: degree, institution, expected/actual graduation year, GPA if above 3.3, relevant honors
- Include: relevant coursework (specific course titles only), Dean's List, academic awards
- Exclude: high school (once you have a bachelor's degree), GPA below 3.3
3. Skills
The most important section for ATS keyword matching at the entry level. List every relevant tool, language, platform, and methodology you have used — even at a beginner level. 15–20 terms is a strong target.
4. Projects
Your projects section is where you prove capability. For each project: what you built, what tools you used, and what the outcome was (even if the outcome is "deployed publicly," "used by X users," or "achieved X% accuracy").
5. Internships / Work Experience
List every internship — including short ones. Even a 6-week summer internship at a recognizable company is a credibility signal. Use the same bullet formula as mid-level candidates: action verb + what you did + quantified outcome where possible.
6. Certifications (optional but valuable)
AWS, Google Analytics, HubSpot, Coursera specializations — if relevant to your target role, include them. Entry-level candidates who supplement coursework with certifications signal initiative.
The Projects section — the key section most entry-level candidates miss
Why projects matter more than grades
For technical roles — software engineering, data science, data engineering, design — a strong projects section is more valuable than a 4.0 GPA. Projects show that you can build things in the real world, not just pass exams about building things.
A well-structured project entry tells a recruiter: what problem you solved, what tools you used, what you actually produced, and whether you shipped it. GitHub links, live URLs, or deployment descriptions all strengthen the entry.
How to write a project entry
Recipe Recommendation App — Built a web app for recipe recommendations using machine learning.
Recipe Recommendation Engine — github.com/username/recipe-rec
Built a content-based filtering recommendation system using Python (scikit-learn, pandas) and a public recipe dataset of 180K entries. Deployed on AWS Lambda; served 200+ requests in the first month after posting to Reddit. Achieved 0.82 precision@5 on held-out test set.
Skills section and internship bullet strategy
Skills section for entry-level candidates
Do not hold back on your skills section because you feel like a beginner. If you have used a tool — in class, in a project, in a personal context — list it. Entry-level hiring managers expect limited depth; they are screening for exposure and potential, not mastery.
- List by category: Languages, Tools, Frameworks, Platforms, Methodologies
- Include tools used in academic projects — Jupyter, R, Excel, Tableau are legitimate
- Include tools from personal projects — if you built something with it, you can list it
- Do not list generic soft skills — "communication," "teamwork" take space that keywords should fill
- Target 15–20 explicit terms for ATS keyword density
Internship bullet formula
Even without large numbers, internship bullets should follow the same action-outcome formula as mid-level bullets — just with appropriate scale.
Helped the team with data cleaning and analysis tasks for the quarterly report.
Automated 3 recurring data cleaning workflows in Python (pandas), reducing weekly analyst prep time from 4 hours to 45 minutes.
Built and deployed an internal Tableau dashboard tracking 5 key marketing KPIs, used by the VP of Marketing in weekly review meetings.
Starting your career in a $80K–$130K role?
Askia works with entry-level and early-career professionals targeting their first role in software engineering, data, product, finance, and operations. The positioning work at the start of a career compounds for decades. Average client outcome: first offer within 21 days of coaching.
