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Powerplay Data Analyst Interview Questions and Answers
Powerplay Data Analyst Interview Experiences
1 interview found
Anonymous
Selected
I applied via Recruitment Consulltant and was interviewed in Oct 2023. There was 1 interview round.
(1 Question)
- Q1. How do you differentiate between duplicated rows and get the unique df?
- Ans.
To differentiate between duplicated rows and get the unique df, use the drop_duplicates() function in pandas.
Use the drop_duplicates() function in pandas to remove duplicated rows and get the unique dataframe.
Specify subset columns if you want to consider only certain columns for identifying duplicates.
Use the keep parameter to specify whether to keep the first occurrence, last occurrence, or none of the duplicated row
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Selected
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL -- LeetCode style questions Medium lvl
(2 Questions)
- Q1. Past experiences
- Q2. How one can help with eshopbox
- Ans.
One can help with eshopbox by analyzing data to improve customer experience and optimize sales.
Conduct data analysis to identify trends and patterns in customer behavior
Use data to personalize marketing strategies and recommend products to customers
Optimize website layout and user experience based on data insights
Implement data-driven pricing strategies to maximize sales and profits
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL, excel, tableau , looker studio
(1 Question)
- Q1. What is your notice period.
I applied via campus placement at SRM Institute of Science & Technology, Chennai and was interviewed in Apr 2024. There was 1 interview round.
(2 Questions)
- Q1. Difference between logistic regression and svm
- Ans.
Logistic regression is a linear model used for binary classification, while SVM is a non-linear model that can handle complex decision boundaries.
Logistic regression is a probabilistic model that predicts the probability of a binary outcome based on input features.
SVM aims to find the hyperplane that best separates the classes in a high-dimensional space.
Logistic regression is more interpretable and easier to implement...
- Q2. Data augmentation related questions
Interview Preparation Tips
- Machine Learning
Skills evaluated in this interview
Selected
I applied via Referral and was interviewed before Apr 2022. There were 3 interview rounds.
(2 Questions)
- Q1. Standard W3 School SQL questions
- Q2. Case Study questions
(1 Question)
- Q1. Culture Fit questions
I applied via Referral and was interviewed in Jun 2024. There were 3 interview rounds.
50 questions need to do in 15 mins.
(1 Question)
- Q1. Hr round easy asked to solve easy puzzle and guestimate.
(1 Question)
- Q1. Onsite interview where they give you task that is irrelevant.
Interview Preparation Tips
About customer data hiw may job card and warrant parts
Power Bi with visualization
(1 Question)
- Q1. Only discussion about previous experience
Selected
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL -- LeetCode style questions Medium lvl
(2 Questions)
- Q1. Past experiences
- Q2. How one can help with eshopbox
- Ans.
One can help with eshopbox by analyzing data to improve customer experience and optimize sales.
Conduct data analysis to identify trends and patterns in customer behavior
Use data to personalize marketing strategies and recommend products to customers
Optimize website layout and user experience based on data insights
Implement data-driven pricing strategies to maximize sales and profits
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL, excel, tableau , looker studio
(1 Question)
- Q1. What is your notice period.
I applied via campus placement at SRM Institute of Science & Technology, Chennai and was interviewed in Apr 2024. There was 1 interview round.
(2 Questions)
- Q1. Difference between logistic regression and svm
- Ans.
Logistic regression is a linear model used for binary classification, while SVM is a non-linear model that can handle complex decision boundaries.
Logistic regression is a probabilistic model that predicts the probability of a binary outcome based on input features.
SVM aims to find the hyperplane that best separates the classes in a high-dimensional space.
Logistic regression is more interpretable and easier to implement...
- Q2. Data augmentation related questions
Interview Preparation Tips
- Machine Learning
Skills evaluated in this interview
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