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WizCommerce Data Scientist Interview Questions and Answers
WizCommerce Data Scientist Interview Experiences
1 interview found
Anonymous
I applied via Approached by Company and was interviewed in Mar 2024. There was 1 interview round.
(2 Questions)
- Q1. How would you apply data science in ecommerce website?
- Ans.
Data science can be applied in ecommerce websites for personalized recommendations, customer segmentation, fraud detection, pricing optimization, and inventory management.
Utilize machine learning algorithms for personalized product recommendations based on user behavior and preferences.
Segment customers based on their purchasing patterns to target them with tailored marketing campaigns.
Implement anomaly detection algor...
- Q2. Explain XGBoost in layman terms for understanding of a non-tech person
- Ans.
XGBoost is a powerful machine learning algorithm that uses a collection of decision trees to make accurate predictions.
XGBoost stands for eXtreme Gradient Boosting, which is a type of ensemble learning method.
It combines the predictions from multiple decision trees to improve accuracy.
XGBoost is popular for its speed and performance in competitions like Kaggle.
It is used in various fields such as finance, healthcare, a
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Skills evaluated in this interview
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I applied via Campus Placement and was interviewed before Feb 2019. There were 3 interview rounds.
Interview Questionnaire
4 Questions
- Q1. 1. How to choose optimum probability threshold from ROC?
- Ans.
To choose optimum probability threshold from ROC, we need to balance between sensitivity and specificity.
Choose the threshold that maximizes the sum of sensitivity and specificity
Use Youden's J statistic to find the optimal threshold
Consider the cost of false positives and false negatives
Use cross-validation to evaluate the performance of different thresholds
- Q2. 2. How to test time series trend break up?
- Ans.
To test time series trend break up, statistical tests like Augmented Dickey-Fuller test can be used.
Augmented Dickey-Fuller test can be used to check if a time series is stationary or not.
If the time series is not stationary, we can use differencing to make it stationary.
After differencing, we can again perform the Augmented Dickey-Fuller test to check for stationarity.
If there is a significant change in the mean or va...
- Q3. 3. How do you deal with senior customer when you don't have enough data?
- Ans.
Communicate transparently and offer alternative solutions.
Explain the limitations of the available data and the potential risks of making decisions based on incomplete information.
Offer alternative solutions that can be implemented with the available data.
Collaborate with the customer to identify additional data sources or explore other options to gather more data.
Provide regular updates on the progress of data collect...
- Q4. 4. Do you prefer working in clear defined goal space or where customer isn't sure what he wants?
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Skills evaluated in this interview
ritika singh
I applied via Naukri.com and was interviewed in Apr 2021. There were 5 interview rounds.
Interview Questionnaire
1 Question
- Q1. Sql and python basics
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Apr 2021. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Difference between probability density function and mass function
- Ans.
Probability density function is for continuous random variables while mass function is for discrete random variables.
Probability density function gives the probability of a continuous random variable taking a certain value within a range.
Mass function gives the probability of a discrete random variable taking a certain value.
Probability density function integrates to 1 over the entire range of the random variable.
Mass ...
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I applied via Recruitment Consulltant and was interviewed before Aug 2021. There was 1 interview round.
(1 Question)
- Q1. Difference between CNN and MLP
- Ans.
CNN is used for image recognition while MLP is used for general classification tasks.
CNN uses convolutional layers to extract features from images while MLP uses fully connected layers.
CNN is better suited for tasks that require spatial understanding like object detection while MLP is better for tabular data.
CNN has fewer parameters than MLP due to weight sharing in convolutional layers.
CNN can handle input of varying
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Skills evaluated in this interview
I applied via Naukri.com and was interviewed before Mar 2021. There was 1 interview round.
(1 Question)
- Q1. About Resume and basic ML
Interview Preparation Tips
I applied via Naukri.com and was interviewed before Mar 2021. There was 1 interview round.
(1 Question)
- Q1. About Resume and basic ML
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Jun 2020. There was 1 interview round.
Interview Questionnaire
2 Questions
- Q1. There were two rounds of interviews. Both technical. They actually touch base every topic by asking questions out of it. First round- Python fundamental questions on data structures and operations, scenar...
- Q2. Second round is mainly CV based project discussion. They would try to dig out on advanced concepts which could be bit mathematical. You can be honest and skip it rather than quoting it wrong.
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I applied via Walk-in and was interviewed in Apr 2021. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. How I feel the company has opportunity for growth
Interview Preparation Tips
I appeared for an interview before Dec 2021.
(2 Questions)
- Q1. Few sql questions such as window functions, joins
- Q2. Python oops, programming outputs, libraries used
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Interview Questions for Popular Designations
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WizCommerce Data Scientist Interview Process
based on 1 interview
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