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I applied via AmbitionBox and was interviewed in Jul 2023. There was 1 interview round.
Decision Tree algorithm is a supervised learning algorithm used for classification and regression tasks.
Decision Tree algorithm is based on a tree-like model of decisions and their possible consequences.
It uses a set of rules to split the data into branches and make predictions at the leaf nodes.
The algorithm selects the best attribute to split the data based on certain criteria like information gain or Gini index.
Deci...
I applied via campus placement at International Institute of Information Technology (IIIT), Bhubaneswar and was interviewed before Sep 2023. There were 3 interview rounds.
The first round was a mcq test based on aptitude and statstics
2nd round was a coding round. Three questions were given . Two were easy and one was medium
I applied via Naukri.com and was interviewed before Dec 2023. There were 2 interview rounds.
Sql coding roiund do window functions
Do a lot of discusion and case study
What people are saying about Tiger Analytics
I applied via Company Website and was interviewed before Jul 2023. There were 2 interview rounds.
Python string manupulation questions
Tiger Analytics interview questions for popular designations
I applied via LinkedIn and was interviewed before Jan 2022. There were 3 interview rounds.
In the first round they ask some technical mcq and gave some coding questions in python and SQL.there were less aptitude questions.
The most frequent word in a sentence can be found by counting the occurrence of each word and selecting the one with the highest count.
Split the sentence into words using whitespace as delimiter
Create a dictionary to store the count of each word
Iterate through the words and update the count in the dictionary
Find the word with the highest count in the dictionary
Basic aptitude questions and coding questions.
Some basic data related questions, coding questions
Medium level of coding questions were asked. Didn't need a lot of optimization to pass the test cases so it wasn't very hard.
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 Campus Placement and was interviewed before Dec 2021. There were 2 interview rounds.
Questions based on sql python (hard level)
I applied via campus placement at Maulana Azad National Institute of Technology (NIT), Bhopal and was interviewed before Jun 2021. There were 3 interview rounds.
There are 20 Aptitude Question (time to solve these 20 question is 30 minutes). Then 10 MCQ Questions on Computer Science Fundamentals (time 10 minutes).
There are 5 question based on DSA 3 question of 20 marks and 2 questions of 50 marks. You need to any two question of 20 marks questions and one of 50 marks question. Total time you get to solve these question is 60 minutes.
Get second highest element from an array of strings with O(N) time complexity and O(1) space complexity.
Initialize two variables to store the highest and second highest elements.
Traverse the array and update the variables accordingly.
Return the second highest element.
Handle edge cases like empty array or array with only one element.
Sort nearly sorted array using min heap
Create a min heap of size k+1
Insert first k+1 elements into min heap
For remaining elements, extract min and insert new element
Extract all remaining elements from min heap
Time complexity: O(nlogk)
Example: ['apple', 'banana', 'cherry', 'date', 'elderberry']
Coffiecent of x^7 in a given equation
Use the binomial theorem to expand the equation
Identify the term with x^7
The coefficient of x^7 is the coefficient of that term
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