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Question 7 of 30
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There are times when fintech data analysts encounter incomplete datasets. The interviewer wants to know how you would handle this type of situation. If you have encountered this in the past, provide an example and explain how you handled it. It's important to emphasize that you know how important it is that the data you're working with be complete and accurate so your final conclusions are correct.
"There have been many times in the past when I've worked on projects and the datasets have contained missing or wrong information. In fact, it happens all the time! There are various methods that can be used to help resolve this issue, including kNN imputation, which I've used before to calculate and fill in missing data. Ultimately, the goal is to work with accurate data so during every project I make sure that any suspect data has been removed during the data profiling and cleansing stages and that any missing data has been replaced before I move forward with the data analysis process."
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Written by Marcie Wilmot
30 Questions & Answers • Fintech Data Analyst
By Marcie
By Marcie