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Resume guides that get you shortlisted

Written for Indian applications: fresher formats, Naukri headlines and role-specific examples. When your draft is ready, score it free to see exactly what recruiters and screening software will flag.

Which guide to read first

If you are writing your first resume, start with the format guide: it fixes the section order and the one-page layout before you write a word. Then the objective or summary guide, depending on whether you have an internship to point at, then the step-by-step writing guide for the bullets themselves. The Naukri headline comes last, because it is written from the finished resume, not before it.

The role pages below are different in kind. Each one lists the keywords the ATS scorer checks for that role, grouped by category, with the projects that let you claim them truthfully. A keyword on a resume is a promise the interview will test, so the pages say what each one has to be backed by. Recruiters search for the exact terms, which is why the spelling and the grouping matter as much as the skill.

When the draft is done, score it against a real job description. The report shows the missing keywords and the weak sections, and the rewrite tool changes wording without inventing experience you do not have.

How to write the small resume sections

About Me, strengths, hobbies, skills and personal details take up a few lines each, and those lines are easy to fill with words that say nothing. Each answer below comes first, then example lines for data roles, then what to leave out.

What should you write in the About Me section of a resume?

Write two or three lines that say who you are as a candidate: the role you want, the skills you can prove, and one piece of evidence. It is the same section as a summary or profile, and it sits right under your name.

Example lines

  • Fresher, data analystB.Com graduate (2026) applying for data analyst roles. I use SQL and Excel to clean and summarise data, and I built a Power BI sales dashboard on a public retail dataset.
  • Data engineer, two years at a services companyData engineer at an IT services company, building batch pipelines in PySpark and SQL on Azure. I own the daily loads that feed a client's finance reports.
  • Career switcher into analyticsOperations executive moving into data analytics. I automated a weekly Excel report with Python and pandas, and I am learning SQL and Tableau.

Leave out: Lines such as "hard-working quick learner seeking a challenging role in a reputed organisation". They fit every applicant, so they tell the recruiter nothing about you.

Resume summary examples for freshers →

How do you show strengths in a resume?

Show strengths through what you did, not as a list of adjectives. Pick the two or three strengths the job description asks for, then prove each one in a project or internship bullet. A line that only says "team player" gives a recruiter nothing to check.

Example lines

  • Instead of "strong analytical skills"Found why weekly sales fell in one region by joining order and returns data in SQL, and summarised the cause on one Excel sheet for the store manager.
  • Instead of "good communication"Walked the operations team through a Tableau dashboard and rebuilt two views after their feedback.
  • Instead of "quick learner"Picked up Airflow during my final-year project to schedule the pipeline that loads daily weather data into PostgreSQL.

Leave out: A separate Strengths list of soft skills with no proof behind it. If you keep one, hold it to the two or three that your bullets already show.

Strengths and weaknesses answers for the interview →

Should you add hobbies to a resume?

Only when your resume still fits on one page and the hobby tells the recruiter something useful. For data roles, the useful ones show steady practice with data or problems. Put them on the last line, under a heading such as Interests.

Example lines

  • Shows data practiceKaggle: public notebooks on Indian datasets, with a link to your profile.
  • Shows you can explainWriting: a weekly LinkedIn post that explains one SQL idea with an example.
  • Shows a project habitCricket stats: a spreadsheet of my college team's scores, with charts I update after every match.

Leave out: Reading, music and travelling with nothing behind them, or any hobby you could not talk about for a minute if the interviewer asked.

Fresher resume format, section by section →

How do you write the technical skills section of a resume?

Group your skills by type on two to four lines, and list only what you could answer interview questions on. For a data role, use groups such as Languages, Databases, BI tools and Cloud. Every skill you list should also appear in a project bullet that shows you using it.

Example lines

  • Data analystLanguages: SQL, Python (pandas) | BI: Power BI, Excel (pivot tables, XLOOKUP) | Statistics: hypothesis tests, A/B tests
  • Data engineerLanguages: SQL, Python, PySpark | Platforms: Azure Data Factory, Databricks | Orchestration: Airflow | Storage: ADLS, Delta Lake

Leave out: Every tool you have opened once, and skill bars or percentages such as "Python 80%". A recruiter cannot check them, and a resume parser cannot read a bar.

Data analyst resume keywords, by category →

Which personal details should you put on a resume?

Only what a recruiter needs to reach you: your full name, a phone number with +91, a professional email, your city, and your LinkedIn or GitHub link. Leave out your photo, date of birth, father's name, marital status, religion and the declaration line. Those belong on a biodata, not on a resume for a company job.

Example lines

  • Header lineFirstname Lastname | Pune | +91 98XXX XXXXX | firstname.lastname@gmail.com | linkedin.com/in/firstname-lastname | github.com/firstname

Leave out: Your full home address and a second phone number. The city is enough until an offer, and a government form will ask for the rest itself.

When a form asks for a biodata instead →

Resume keywords by role

The curated keyword benchmarks our resume checker shows, one page per role, with the projects that prove them honestly.