Kanan International 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
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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
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Q1. Statistics, ML models, Assignment, Case Study
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Q1. What lessons have you learned from your experiences in your previous company?
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Q1. What are the different types of financial derivatives?
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Q2. What are corporate actions and what are their various types?
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