What is Bagging? Along with case study related to Random Forest consisting 100 features and 100000 records? Number of records and features in each decision tree?
Associate Data Scientist Interview Questions
502 associate data scientist interview questions shared by candidates
1) Previous Organization Work as Junior AI Scientist along with questions related to methodology with a case study related to multi time series problem.
Q: Tell me about your self! Q: Connect the image encryption project you have done and relate it to pharma industry how could we use them? Q: Based on datasets given which Machine Learning algorithm would you prefer? Q: How would you evaluate the performance of your training model? Q: Did you partispate in any online coding platforms for machine learning and data science related ones? Q: Why Novartis? Q: How do you think your skills and knowledge be useful to Novartis? Q: Any questions for me! Thats it guys hope best of luck to you
Difference between mean vs median, Going through my work on the case study (useless b/c it is wasting more interview time that could be spent discussing my past work/projects/skill-set), Handling outliers or missing data, Graph questions (could not get to for length of interview) Make sure you explain things in a brief manner. That may have been why I did not move forward.
withiut using distinct get me the unique values in sql
• Your professional snapshot • Data Science Case study, you worked upon • Various techniques used for handling missing values • Assumptions of Regression • ROC, AUC; precision, recall • High recall, low recall • SVM, kmeans • Order of excecution of SQL query
Explain PCA (Wanted me to explain the co-variance matrix and eigen vectors and values and the mathematical expression and mathematical derivation for co-variance matrix)
Why was the project initiated? How did the client approach for this project?
What is text embedding, and how does it impact the performance of LLM?
If your life is a journey, from the day you were born to where you are now, how would you describe it?
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