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      Data Science Intern Interview

      Jan 21, 2025
      Anonymous Interview Candidate
      Declined offer
      Neutral experience
      Difficult interview

      Application

      I interviewed at XYZ

      Interview

      1. Application Submission: Submit your resume and cover letter online or via email. 2. Screening: HR Screening: A short phone or video call to assess basic qualifications, experience, and salary expectations. Aptitude Test (optional): Tests for skills relevant to the job (e.g., technical, logical, or verbal). 3. Technical/Functional Round: In-depth discussion on your technical skills, problem-solving abilities, or functional expertise. 4. Managerial/Behavioral Round: Questions about work ethic, teamwork, leadership, and past experiences. 5. Final Round (optional): Could include interviews with senior management or stakeholders. 6. Offer and Negotiation: Receive the offer, negotiate if needed, and finalize terms. 7. Background Check: Verification of details like employment history, education, etc. 8. Onboarding: Join the company and complete necessary formalities.

      Interview questions [1]

      Question 1

      1. What is the difference between supervised and unsupervised learning? 2. Explain overfitting and underfitting. How can you prevent them? 3. What are the key steps in a data science project? Statistics and Probability: 4. Explain p-value and its significance in hypothesis testing. 5. What is the central limit theorem, and why is it important? 6. How do you check if a dataset is normally distributed?
      Answer question

      Other Data Science Intern Interview Reviews for XYZ

      Data Science Intern Interview

      Jun 11, 2023
      Anonymous Interview Candidate
      Vadodara
      No offer
      Positive experience
      Average interview

      Application

      I interviewed at XYZ (Vadodara)

      Interview

      The interview was based on the assignment, after then was a small coding session on recurrent neural networks and then was the HR interview. The recruiters were very humble and supportive .

      Interview questions [1]

      Question 1

      Related to machine learning algorithms
      Answer question

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