Statistics

Explain the methods you have used to detect outliers in your previous projects?

Data Scientist

Square

Microsoft

Tokopedia

Cohesity

Broadcom

Paytm

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Answers

Anonymous

4 months ago
3.6Strong
I have used quite a few methods to detect outliers in my previous projects. For example, in the last project where I was trying to understand customer behaviour on ordering. I used the inter-quartile distance as a means to flag outliers specifically ones that had an order frequency 3 time beyond the inter-quartile distance. I then capped these vales at the 2nd and 98th percentile respectively. This was quite an efficient and reliable method to deal with outliers in the preliminary analysis,
  • Explain the methods you have used to detect outliers in your previous projects?
  • What techniques have you employed in the past to identify outliers in datasets?
  • Could you discuss the outlier detection methods you've utilized in earlier projects?
  • Please share the strategies you have applied to detect outliers in your data science endeavors.,
  • What methods for detecting outliers in data have you used in your previous roles?
  • Can you talk about the approaches you have taken to find outliers in datasets?
  • In your past data analysis projects, how did you go about identifying outliers?
  • Could you explain your experience with detecting outliers in datasets?
  • What outlier detection techniques have you implemented in your previous work?
  • How do you typically identify outliers in your data projects?
  • How have you approached outlier detection in your data analysis work previously?
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Interview question asked to Data Scientists interviewing at Broadcom, Tokopedia, Square and others: Explain the methods you have used to detect outliers in your previous projects?.