questions based on my projects, such as Bias variance trade-off in machine learning, how my ML pipeline worked, data drift detection, RAG and chunking methods, TopK, Top P, etc.
Data Associate Interview Questions
2,700 data associate interview questions shared by candidates
Analyzing and organizing raw data Developing and maintaining datasets Improving data quality and efficiency Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modeling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects on several projects
I spent so much time preparing for the oddball questions (that I saw on this site), that I failed to adequately prepare for all the "normal" ones. And I did not have ONE oddball question. While I was a bit surprised, it helped take the pressure off a bit. I was asked a lot about attention to detail, working remotely at times, and of course, my strengths and weaknesses. Normal things.
Technical questions were about Python, Sql and OOP concepts. Behavioral Questions were general situational questions on teamwork, why this company etc.
Please describe the situation when you had to cooperate for success.
The case study was quiet complex, the time given was not enough to analyse and come up with solution. So as they are only looking for your approach don't spend much time in analysing the content move on heuristic approach, you can modify your prejudice in later stages as there is no elimination.
Tell us about your previous role?
How would you improve an advertising campaign given X information
How have you used projects you've done (revolving around data) to make business decisions?
You are on a team of 5 members and have a project that is due in two weeks. One of the team members leaves the group and will not return with the project not finished. As group leader, what do you do moving forward?
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