Data Scientist Resume for Freshers in India: Layout and Examples

Last updated: 21 September 2026 · By the Asuraa Team

What should a data scientist resume for freshers include?

A data scientist resume for freshers should include contact details with GitHub and LinkedIn links, a short summary, education, technical skills, projects, any internships, certifications and achievements. Naukri Campus's data science resume guide for freshers (published July 2024, modified August 2024) lists these sections in that order.

Analytics Vidhya's data scientist resume guide (published April 2023, updated May 2025) adds community engagement such as hackathons, conferences and open-source work. This guide is about the fresher-specific choices. For file format, parsing and keyword matching, read our ATS-friendly resume for a data scientist guide.

What order should the sections follow?

Follow a clear, conventional order, and move your strongest proof upwards. The table compares what the two sources recommend with the choice we suggest for a fresher.

The suggestion to move projects above education is our own editorial judgement. Naukri Campus places education first, so follow the order your target employer or college template expects if it is stricter.

How long should a fresher data scientist resume be?

One page is the usual advice. Naukri Campus's general fresher guide, published on 13 July 2026, says a fresher resume should ideally be one page, and its data science guide says one page is ideal while two are acceptable.

If you are cutting, drop the hobbies section, generic soft-skill lists and school-level details first. Keep every project that shows a different skill, and shorten the ones that repeat the same method.

How do you write a summary with no experience?

Name your target role, your strongest skills and one piece of proof, in two or three lines. Naukri Campus lists generic objectives among the mistakes to avoid, so write about what you can do, not what you hope to get.

Here is an illustration with placeholders, so replace every bracket with your own facts.

Final-year [degree] student targeting junior data scientist roles. Skilled in Python, SQL and [libraries], with [number] end-to-end projects including [project name], which [one-line result]. Seeking to apply statistics and machine learning to [domain].

Avoid vague self-descriptions. Analytics Vidhya warns against language such as "hard-working" and "detail-oriented" that says nothing verifiable.

How do you write project bullets when you have no job experience?

Write each project as a title, the tools used and two or three bullets covering the problem, your method and the result. Naukri Campus's fresher guide asks for a title, description, your role, tools and quantifiable outcomes, and Analytics Vidhya says to list achievements and not duties.

Only fill in numbers that you produced and can reproduce. Naukri Campus's data science guide gives examples such as an accuracy rate or a percentage improvement, but a defensible dataset size or evaluation metric is better than an impressive figure you cannot explain in an interview. Our guide to data scientist projects covers what to build.

What can you include if you have no internship?

Use academic projects, personal projects, certifications, hackathons and open-source contributions, and describe each in terms of what you did. Analytics Vidhya names hackathons, conferences and open-source contributions as ways to show community engagement, and Naukri Campus's guides list certifications and achievements.

Keep only items connected to the role. A certificate is a small signal on its own, so pair it with a project that uses the same skill, for example a course on time series and a forecasting project.

How should you group technical skills?

Group skills by type and list only what you could discuss in an interview. Analytics Vidhya suggests organising technical skills by category, such as languages, machine learning libraries, data tools and cloud platforms.

A fresher's skills block, with placeholders for your own tools, could use lines such as "Languages: Python, SQL" and "Libraries: [your libraries]". Our data scientist skills guide explains which of these carry the most weight early on.

How do you check the resume before you apply?

Read it against the job description, then test it. Look for the tools and methods the posting repeats, confirm they appear in your skills or projects only if true, and check that a recruiter can find your best project within a few seconds.

You can run it through the AI resume reviewer on asuraa.in, which takes your resume, target job title and job description and gives ATS-compatibility feedback and keyword gaps. For the general fresher layout, see our guide to a resume for freshers in India.

What do most guides on data scientist resumes for freshers get wrong?

Most show a polished sample and skip the reasoning. These are the gaps.

• They invent impressive numbers. A sample with "improved accuracy by 25%" teaches you to fabricate, and interviewers will ask how you measured it.
• They copy the experienced-resume layout. A fresher has no work history, so the structure should lead with projects and skills.
• They list every tool. A long tool list with no proof reads as padding, so prove your top few in projects.
• They ignore the reader. A recruiter reads quickly, so clarity and a working repository link matter more than design.

FAQ

How long should a data scientist resume for a fresher be?

One page is the usual advice. Naukri Campus says a fresher resume should ideally be one page, and its data science guide says two pages are acceptable. If you need to cut, remove hobbies, generic soft skills and repeated projects before you cut proof of skill.

What should a fresher put on a data science resume with no experience?

Lead with projects, technical skills and any internships, then add education, certifications and achievements. Analytics Vidhya recommends two or three projects with GitHub links showing end-to-end work, and hackathons or open-source contributions can also help. Only list what you can explain in an interview.

Should a fresher use a resume objective or a summary?

Use a short summary of two or three lines that names the target role, your key skills and one piece of proof. Naukri Campus lists generic objectives among the mistakes to avoid, so focus on what you can do for the employer and not on what you want.

How many projects should a fresher list on a data scientist resume?

Two to three strong projects are a sensible target. Analytics Vidhya recommends two or three examples with GitHub links, and a fresher with little else to show can add one more if it teaches a different skill. Choose projects that show different skills and match the job description.

Should I put Kaggle or GitHub links on my resume?

Yes, if the profiles are tidy. Naukri Campus lists GitHub among the contact details for a data science resume, and Analytics Vidhya recommends project links. Pin your best repositories and give each a clear README so a recruiter can judge the work quickly.

Do I need certifications on a fresher data scientist resume?

They are optional. Naukri Campus and Analytics Vidhya both list certifications as a section, but a certificate is a weaker signal than a finished project. Include relevant ones briefly, and pair each with a project that uses the same skill.

Final thoughts

A fresher data scientist resume works when it shows evidence instead of promises: a clear summary, grouped skills and projects with honest results. Keep it to one page and tailor it to each role.

To see how yours reads against a real posting, try the AI resume reviewer. Then use the data scientist projects guide to strengthen the section recruiters look at first.