Inshorts Data Scientist Interview Questions and Answers

The assignment involved analyzing sample data from Inshorts to extract valuable insights.

Q1. Can you elaborate on the projects that you have worked on?
Ans. 
I have worked on projects involving predictive modeling, natural language processing, and machine learning algorithms.
• Developed a predictive model to forecast customer churn for a telecommunications company

• Implemented sentiment analysis using natural language processing techniques on social media data

• Utilized machine learning algorithms to classify fraudulent transactions for a financial institution
Answered by AI
Add your answer
Q2. What were the key discussion points regarding the assignment?
Ans. 
Key discussion points regarding the assignment
• The methodology used to analyze the data

• The key findings and insights derived from the analysis

• Any challenges faced during the assignment and how they were overcome

• Recommendations for future improvements or further analysis
Answered by AI
Add your answer

Q1. Statistics, ML models, Assignment, Case Study
Add your answer

Q1. 1st round was more of Mathematical foundation screening before selecting for 2nd round
Add your answer

Assignment was similar to work you gonna do as a Data Scientist at Inshorts.

Q1. Discussion on assignment
Add your answer

Q1. Data Science related
Add your answer

Q1. Advanced data science related questions
Add your answer

Q1. HR team on basic HR questions
Add your answer

Q1. With Co-founder to introduce and check you
Add your answer