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Data Associate Interview Questions
2,705 data associate interview questions shared by candidates
Q1: Explain your past internship. Q2: Explain about your personal projects. Q3: Do you see yourself doing this job for at least 2-3 years. Q4: Questions regarding your resume.
How do you handle imbalanced datasets when building a classification model? Explain the techniques you would use. What statistical tests would you use to compare the effectiveness of two different machine learning models? Why? Can you explain the bias-variance tradeoff and how it impacts the performance of a machine learning model? How would you evaluate the performance of a clustering algorithm, given that there are no true labels? What are the key assumptions of linear regression, and how would you test if they hold for a given dataset?
"Tell me more about your past experience"
Got Rejected so im not sure.
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.
1. SQL queries on joins, self join, aggregation functions etc 2. Similar questions, but on Pandas tables 3. In depth about last project 4. Standard Machine Learning and Deep Learning questions
Have you read the job description?
They asked my about new cutting edge technology at that point of time which was 2021 regarding Cloud, hadoop
Tell me about a project you have work in the past and have faced some hurdles
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