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KPMG India Business Intelligence Analyst Interview Questions and Answers
KPMG India Business Intelligence Analyst Interview Experiences
1 interview found
Anonymous
Selected
I applied via Recruitment Consulltant and was interviewed before Jul 2023. There were 4 interview rounds.
Aptitude test - lr questions
Technical questions sql
(2 Questions)
- Q1. To find details of sum of salary of employmees
- Q2. To find the join result of two tables
- Ans.
To find the join result of two tables, you can use SQL JOIN statement.
Use SQL JOIN statement to combine rows from two or more tables based on a related column between them.
Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column;
(2 Questions)
- Q1. Strength/Weaknesses
- Q2. Background or how I was in study
Skills evaluated in this interview
Interview questions from similar companies
Hemant Yadav
Selected
I applied via Approached by Company and was interviewed in Oct 2024. There were 2 interview rounds.
Combination logic on python
(1 Question)
- Q1. Explain classification
- Ans.
Classification is a machine learning technique used to categorize data into different classes or categories based on past observations.
Classification involves training a model on labeled data to predict the class of new, unseen data points.
Common algorithms for classification include logistic regression, decision trees, support vector machines, and k-nearest neighbors.
Examples of classification tasks include spam email...
It was on HackerRank
Building a reward points model.
(4 Questions)
- Q1. What is stemming and lematization
- Ans.
Stemming and lemmatization are techniques used in natural language processing to reduce words to their base or root form.
Stemming is a process of reducing words to their base form by removing suffixes.
Lemmatization is a process of reducing words to their base form by considering the context and part of speech.
Stemming is faster but may not always produce a valid word, while lemmatization is slower but produces valid wo...
- Q2. Python coding about default values in class and funtions
- Q3. Kmeans clustering evaluation
- Q4. How to measure multicollinearity
- Ans.
Multicollinearity can be measured using correlation matrix, variance inflation factor (VIF), or eigenvalues.
Calculate the correlation matrix to identify highly correlated variables.
Use the variance inflation factor (VIF) to quantify the extent of multicollinearity.
Check for high eigenvalues in the correlation matrix, indicating multicollinearity.
Consider using dimensionality reduction techniques like principal componen
Anonymous B
(2 Questions)
- Q1. About BER GPT and transformers
- Q2. Natural language processing
Machine Learning, Metrics
I applied via Naukri.com and was interviewed in Sep 2023. There were 3 interview rounds.
(1 Question)
- Q1. Questions on PowerBI & Power Query
(1 Question)
- Q1. Interpersonal communication skills
Selected
I applied via Approached by Company and was interviewed before Sep 2023. There were 3 interview rounds.
Simple Data Science Case Study
(1 Question)
- Q1. Python knowledge related questions
Data Science Case Study
Selected
I applied via Company Website and was interviewed in Apr 2024. There was 1 interview round.
(1 Question)
- Q1. Write a prompt to extract key Personal Identifiable Information given a resume
- Ans.
Extracting key Personal Identifiable Information from a resume prompt
Look for information such as full name, address, phone number, email address, date of birth, and social security number
Utilize natural language processing techniques to identify patterns and structures in the text
Consider using regular expressions to match specific formats of personal information
Ensure data privacy and security measures are in place w
Interview Preparation Tips
Math problem verbal aptitude as well as directional questions ,work time questions
Basic questions were asked,not so tough
(2 Questions)
- Q1. Introduction about myself
- Q2. Guesstimates questions and puzzles
Interview Preparation Tips
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