Data science has gained popularity in the industry due to its broad industrial applicability and visualization capabilities which expands a company's business while also saving operating time and providing analysis functionality.

To crack any data science interview, the first and most crucial question asked of a candidate during an interview is "Tell me about yourself" or "Give me an introduction about yourself." Instead of beginning any introduction formally, strive to make it more engaging and professional to impress the interviewer.

You may be wondering how to respond to this question, especially if you're looking for a Data Scientist/Data analyst position.

Do’s For The Interview

1. Appearance is key

Dress correctly for the interviews, as appearance is key for impression. What you wear to an interview will reflect, in part, who you are to the people you will encounter. Different workplaces have different dress rules, so before you go to your job interview, do some research on the corporate culture.

2. Prepare before the Interview

Prepare what you will say before going to the interview. Apply the same techniques once you begin interacting with the individual at hand. Confidence is crucial as you start to introduce yourself vocally. A strong volume demonstrates that you are confident, eager about the prospect, and want to be considerate of your time.

3. Greeting

Begin by Greeting the Interviewer. The first few minutes of greeting each other allow the interviewer to determine your confidence level. Greet the interviewer warmly and offer a handshake. This should start the introduction process in the interview.

4. Show Interest in Company’s Products

Show that you are interested not just in the job profile but also in the company's product, development, and culture throughout the introduction as the hiring manager seeks a candidate who can relate to the company's products, culture, and vision. The interviewer does not want people who are only interested in a job or a higher salary. The hiring manager acquires assets for the organization in the form of candidates who can contribute to the long-term development and expansion of the company.

5. Capabilities

Explain your capabilities in 1 to 2 lines. It is important to note that abilities and skills are not the same things. You should not include the names of languages, libraries, or frameworks you are familiar with; instead, frame your phrase to highlight your interest in that topic and display your capabilities.

6. Keywords

Explain specific keywords related to your projects till the time you have engaged.

7. Skill Sets

Explain your data science skill sets, such as visualization, analysis, and data cleansing.  It helps to understand the hiring person and in which domain you can work for the company.

8. Education Background

While describing your education background while introducing, don’t tell in brief, Because it is already mentioned in your resume. So simply tell your educational background by specifying your college name and specialization. Try to avoid telling percentage, CGPA, or other details.

9. Work Experience

Describe your work experience and duration, as well as your former role in that organization. It showcases, previously on what profile you have worked and ready for what roles.

10. Certifications

If you have any certifications, that will bonus for you. Just mention that you are certified in that domain. It represents the validation of your technical skills.

11. Early Preparation

Be Prepared for Follow-Up Questions. After you introduce yourself in an interview, be prepared to answer the follow-up questions. Hiring professionals ask these questions to test your honesty and integrity. A series of questions related to what you said in the introduction can reveal whether you were being honest or not. Thus, try to be as real as you can while introducing yourself in the interview, and be prepared to answer these questions!

Don’ts For The Interview

1. Be Professional

Keep it professional by not expressing too much about yourself. Explain why you're interested in this profile. The hiring manager will consider you an asset to the organization who will remain with it for a long period.

2. Keep it short

Don't make your introduction too brief, as this will take more time. Keep your responses and statements short and to the point. As the recruiter needs to interview several candidates, the recruiting person does not have much time to listen to long and timely responses. So, in order to respect his time and importance, make your answer short and specific.

3. Don’t include Hobbies

Don’t tell your hobbies, instead tell how you are passionate about data science and your work.

4. Don't restate what's on your CV

Don’t explain your resume things in the introduction. As your resume is in the hand of the hiring person and he has already read your resume and then only invited you to interview, don’t repeat the resume again.

5. Confidence

Do not begin by claiming that you are unqualified for the position. Don't oversell yourself, or you'll get in trouble when you're questioned about your specific expertise.

6. Academic History

In the introduction, do not mention your grades, CGPA, or percentage. As stated in the CV, no one is interested in how much you got in your 10th, 12th, or any other degree.

Sample Answers For Self Introduction In Data Science Interview

Sample Answer 1

In 2020, I received my master's degree from xyz university with a data science specialization, and in 2019, I received my bachelor's degree from xyz university. I have two years of industry experience in software development and am currently focused on analytics as my specialty, where I provide important insights to brands using customer data so that they can make informed decisions. I worked with the sales and marketing team for xyz product in my previous position, where I demonstrated my creative and decision-making expertise, which raised product sales. I have hands-on experience with visualization, data cleaning, and PowerBI tools. I earned the SAS Data Scientist certification.

Sample Answer 2

I believe that data tells us more than just numbers, it helps us understand our users and their desires. I want to pursue data science because I want the business to use data to maximize its value. I have 2 years of experience in data analytics and now I am focusing on marketing analytics as my niche, where I help the brand with valuable insights using the customer data, so they can make informed decisions. I started off as a systems engineer. I eventually migrated to data analysis by getting certified. I am now skilled in SQL, and Java, and am currently learning Python.


The introduction is your opportunity to interact with the interviewer and make a great impression on him about your profile and persona. It can demonstrate how you will be the ideal candidate for the company's employment role.

In short, go with the confidence, and keep your introduction answer smaller with all the charismatic keywords, and skillsets. Don’t include anything personal things, keep it professional.

Here is the Boardinfinity’s Interview Preparation Bootcamp. Board Infinity provides you with 15 hours of high-quality content to help you prepare for your Placements (or change your career path). This free interview preparation course will assist you in developing the necessary information, abilities, and attitude to help you stay one step ahead of the competition and guarantee that you are corporate-ready!

Don’t miss the opportunity to go through other posts on Board Infinity.