What you will learn
A skill is more convincing when a reader can see how you used it. Projects give early-career candidates a practical way to demonstrate learning, explain decisions, and discuss limitations. The aim is to make your work understandable, not to accumulate the longest tool list.
- Prioritise skills relevant to actual target vacancies.
- Describe a project’s problem, contribution, methods, and evidence.
- Use endorsements and recommendations as supporting context.
Choose skills with a purpose
Review several suitable job descriptions and group recurring skills by the work they support. Separate skills you can demonstrate from those you are currently learning. Prioritise the most relevant capabilities in your profile and give each important claim an example.
For example, “SQL” becomes easier to understand when linked to queries you wrote, checks you performed, and a report someone can inspect. A tutorial you followed is learning evidence; explain what you changed or tested yourself. Do not list every technology mentioned in an advertisement.
Compare skills and evidence across roles
These are illustrative directions to research, not universal requirements or claims of demand. Use local vacancies and your actual experience to choose what to emphasise.
| Target role | Possible relevant skills | Practical evidence |
|---|---|---|
| Junior Software Engineer | Programming, Git, APIs, testing | A small application with setup instructions, checks, and clear contribution notes. |
| Data Analyst | SQL, spreadsheets, data cleaning, visualisation | A dashboard with a data dictionary, quality checks, and a written interpretation. |
| Cybersecurity Analyst | Networking, Linux, log analysis, incident documentation | A defensive lab using authorised systems, with findings and limitations. |
| IT Support Specialist | Troubleshooting, operating systems, ticket writing, communication | A home-lab support guide with a reproducible diagnostic process. |
| Project Coordinator | Planning, task tracking, stakeholder updates, organisation | A project plan, risk log, and status report using non-confidential sample information. |
Explain the project so someone can evaluate it
Give the project a clear name and context: personal, academic, volunteer, or client work. Explain the problem, your contribution, tools, outcome, and lessons. Link to a repository, report, portfolio, or demonstration where suitable. GitHub is useful for some technical work; it is not required for every career.
- State the problem and intended user or decision.
- Identify exactly what you did, especially if the work was shared.
- Explain the tools and important choices in plain language.
- Describe the result, checks, and limitations without invented metrics.
- Provide safe, working evidence and instructions for understanding it.
Read a complete project description
This fictional teaching example uses sample data, not real client results. A learner should substitute their own genuine work.
Recommendations and endorsements add context
An endorsement is a connection’s recognition of a listed skill. A recommendation is a written account from someone who knows your work. Ask real collaborators for specific, honest feedback and let them use their own words. Neither substitutes for your ability to explain and demonstrate the work.
Review skills for relevance and accuracy rather than asking strangers to endorse everything. Do not exchange fabricated recommendations or present a course completion badge as a professional licence. Check issuer, date, and completion status for credentials.
Practical activity: publish one evidence-based project
Choose one relevant project and complete this template. Open the evidence link as a visitor, remove secrets and personal data, and ask someone unfamiliar with the project to explain what you contributed. Improve the description wherever they are unsure.
- Avoid unsupported skill claims and inaccessible evidence links.
- Explain your contribution to group work rather than claiming the whole result.
- Label sample data and fictional scenarios clearly.
- Keep confidential files, API keys, customer records, and internal materials out of public evidence.
Project-description template
Project name: [clear name] Context: [personal / academic / volunteer / freelance, accurately labelled] Problem or purpose: [who needed what] My contribution: [what I personally did] Tools and skills: [relevant tools and how I used them] Result or deliverable: [truthful output, checks, and limitations] Lessons and next improvement: [what I learned] Evidence: [safe, permitted repository / demo / report / portfolio link]