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GWC DATA.AI Senior Data Analyst Interview Questions and Answers
GWC DATA.AI Senior Data Analyst Interview Experiences
1 interview found
P.Satheesh kumar
General check about you thought process
Will give some topics related to something we need to speak that's enough we monitored your communication.
(1 Question)
- Q1. About SQL need to say basics
Senior Data Analyst Jobs at GWC DATA.AI
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Anonymous
(2 Questions)
- Q1. What is overfitting in machine learning?
- Ans.
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor performance on unseen data as the model fails to generalize well.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
...
- Q2. Overfitting accurs when a model learns the details.......etc
- Ans.
Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization and high accuracy on training data but low accuracy on new data.
Techniques to prevent overfitting include cross-validation, regularization, and...
Interview Preparation Tips
(2 Questions)
- Q1. What is the pivot table in Excel
- Ans.
A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.
Allows users to summarize and analyze large datasets
Can easily reorganize data by dragging and dropping fields
Provides options to calculate sums, averages, counts, etc. for data
Helps in creating interactive reports and charts
Useful for identifying trends and patterns in data
- Q2. A pivot table is used to summarize...........etc.
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Skills evaluated in this interview
Forecasting problem - Predict daily sku level sales
(2 Questions)
- Q1. What is difference between bias and variance
- Ans.
Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
Bias is the error introduced by approximating a real-world problem, leading to underfitting.
Variance is the error introduced by modeling the noise in the training data, leading to overfitting.
High bias can cause a model to miss relevant relationships between features and target variable.
High variance can cause a model to ...
- Q2. Parametric vs non parametruc model
- Ans.
Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.
Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.
Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.
Examples of parametric models inc...
Skills evaluated in this interview
I applied via Naukri.com and was interviewed before Mar 2023. There were 3 interview rounds.
(1 Question)
- Q1. Machine Learning
(1 Question)
- Q1. Machine Learning
Approach check for multiple case studies
Interview Preparation Tips
Data Scientist Interview Questions & Answers
Thinkitive Technologies
Ganesh Patil
posted on 29 Feb 2024
Selected
I applied via Approached by Company and was interviewed before Mar 2023. There were 3 interview rounds.
(1 Question)
- Q1. Mostly about projects ml, nlp, python code would be asked
(1 Question)
- Q1. It would be focused on technical stuff in detail ml, nlp, deployments etc
(1 Question)
- Q1. Organisation fit
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GWC DATA.AI Senior Data Analyst Reviews and Ratings
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Data Scientist
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|  ₹3.6 L/yr - ₹5.7 L/yr |
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| ₹3 L/yr - ₹7.2 L/yr |
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| ₹3 L/yr - ₹4 L/yr |
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3
salaries
| ₹3 L/yr - ₹3.2 L/yr |
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