CRED Data Science Intern Interview Questions and Answers for Freshers

There was an online aptitude test duration of 30 mins and topics covered (maths,stats,tech)

Hacathon test with java and python

Q1. Discussion about projects
Add your answer
Q2. Discussion about code skills
Add your answer

Q1. What is your job role
Ans. 
I am responsible for assisting in various tasks and projects within the company.
• Supporting team members in daily operations

• Completing assigned tasks in a timely manner

• Assisting in research and analysis

• Participating in meetings and discussions
Answered by AI
Add your answer
Q2. What is the ctc
Ans. 
CTC stands for Cost to Company, which includes all expenses related to an employee's compensation.
• CTC includes salary, bonuses, benefits, and any other perks provided by the company

• It is the total amount of money a company spends on an employee in a year

• CTC is often used to negotiate job offers and understand the full value of a compensation package
Answered by AI
Add your answer

Basic python, sql and pandas questions

Q1. Case study (Probability questions)
Add your answer
Q2. Resume projects
Add your answer

Q1. Can you provide an introduction about yourself and discuss the projects you have worked on?
Ans. 
Aspiring data scientist with a passion for analytics and machine learning, experienced in diverse projects across various domains.
• Completed a project on predicting housing prices using linear regression, achieving an accuracy of 85%.

• Developed a sentiment analysis tool for social media data, utilizing natural language processing techniques.

• Worked on a customer segmentation project using clustering algorithms to enhance ...read more
Answered by AI
Add your answer

Q1. Can you provide a self-introduction along with a brief overview of your project?
Add your answer

Q1. Justification of what is written in the resume
Add your answer
Q2. Questions on case study to monitor your ability
Add your answer

Case study which need to plan GTM strategy for an existing product

Q1. Give a brief Introduction
Add your answer

Intermediate level coding round

Q1. Project explaination
Add your answer
Q2. Explain project ind detail
Ans. 
Developed a predictive analytics model to forecast customer churn for a telecommunications company.
• Collected and cleaned customer data from various sources

• Performed exploratory data analysis to identify patterns and trends

• Built a machine learning model using logistic regression to predict customer churn

• Evaluated the model's performance using metrics such as accuracy, precision, and recall
Answered by AI
Add your answer