all_questions.json

[
    {
        "profession": "Data Scientist",
        "interview_type": "Second/Final Round - Technical Deep Dive",
        "description": "Analyzes data to provide insights and build predictive models.",
        "max_questions": 10,
        "questions": [
            "\"Can you share your approach to cleaning and preparing raw data for analysis?\"",
            "\"Can you explain a complex machine learning algorithm that you have used in your projects and why you chose it?\"",
            "\"How do you approach feature selection when preparing your data for machine learning models?\"",
            "\"Could you describe a situation where you had to deal with a large dataset? What strategies did you use to manage it?\"",
            "\"What are your strategies for validating the results of a data analysis?\"",
            "\"Can you discuss your experience with data visualization tools and how you've used them to communicate insights to non-technical team members?\"",
            "\"How do you ensure that your models are not overfitting the data?\"",
            "\"Can you discuss a time when you developed a predictive model? What techniques did you use and were the results successful?\"",
            "\"How have you handled missing or inconsistent data in your past projects?\"",
            "\"Can you describe a situation where you used statistical analysis to solve a real-world problem?\""
        ]
    }
]