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I applied via Walk-in and was interviewed before Jul 2022. There were 3 interview rounds.
General knowledge questions, Pick odd one out, basic maths, English grammer
Top trending discussions
I applied via Recruitment Consultant and was interviewed in Mar 2018. There was 1 interview round.
I applied via Campus Placement and was interviewed in Nov 2024. There were 2 interview rounds.
Fundamental aptitude questions.
Two medium-level questions.
posted on 29 May 2024
I applied via Campus Placement
It was a test of 90 minutes containing almost every thing .Quantitative+Logical+Computer fundamentals+2 coding questions
I appeared for an interview in Oct 2021.
I appeared for an interview in Jun 2022.
2 easy level coding questions and aptitude mcqs
I applied via Campus Placement and was interviewed before Feb 2022. There were 3 interview rounds.
Though I applied for Data Analyst position through campus Recruitment Program (Kolkata). It had MCQs and Coding test, but surprisingly the MCQs were about Java, OOPs concept and basic coding questions. Hardly any ML or Analytics related like Python, SQL or BI tools related questions. As if I appeared for SDE role, not sure why it happened, but later I came to know they hired none from our college.
This did not happen, as they didn't call anyone from our college.
I applied via Naukri.com and was interviewed in Apr 2023. There were 3 interview rounds.
Basic data structures, puzzles questions and statistics problems
Different types of indexing include primary indexing, secondary indexing, clustered indexing, and non-clustered indexing.
Primary indexing: Index based on the primary key of a table, typically implemented using a B-tree structure.
Secondary indexing: Index based on a non-primary key column, allowing for faster retrieval of data based on that column.
Clustered indexing: Physically reorders the table based on the indexed co...
Random forest is an ensemble learning method that builds multiple decision trees and merges their predictions.
Random forest creates a set of decision trees from randomly selected subsets of the training data.
Each tree in the random forest independently predicts the outcome, and the final prediction is made by averaging the predictions of all the trees.
Random forest is effective in handling high-dimensional data and can...
Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization to new, unseen data.
Regularization techniques like L1/L2 regularization can help prevent overfitting.
Cross-validation can be used to detect and prevent overfitting.
Example: A decision tree with too...
Macros in Excel are automated sequences of commands that can be created to perform repetitive tasks.
Macros can be recorded or written using Visual Basic for Applications (VBA)
They can automate tasks such as formatting, data manipulation, and calculations
Macros can be assigned to buttons or keyboard shortcuts for easy access
They can save time and reduce errors in repetitive tasks
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