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all_questions.json

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+[
+    {
+        "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?\""
+        ]
+    }
+]

questions.json

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+[
+    "\"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?\""
+]