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S&P Global Lead Data Analyst Interview Questions and Answers for Experienced
S&P Global Lead Data Analyst Interview Experiences for Experienced
1 interview found
Anonymous
Selected
I applied via Referral and was interviewed before Feb 2023. There were 2 interview rounds.
Easy Test to be given
(1 Question)
- Q1. Where do you see yourself in next 5 years
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Interview questions from similar companies
Selected
I applied via Referral and was interviewed in May 2024. There were 3 interview rounds.
I was asked to write SQL queries for 3rd highest salary of the employee, some name filtering, group by tasks.
Python code to find the index of the maximum number without using numpy.
(1 Question)
- Q1. Explain the Project undertaken during the research and follow-up questions
(1 Question)
- Q1. Write pandas query to separate the names as first and last name from the full name. Drop the duplicate columns and also the missing values. Write output for the Python code. Write SQL query to retrieve t...
- Ans.
Answering questions related to data science concepts and techniques.
Recall is the ratio of correctly predicted positive observations to the total actual positives. Precision is the ratio of correctly predicted positive observations to the total predicted positives.
To reduce variance in an ensemble model, techniques like bagging, boosting, and stacking can be used. Bagging involves training multiple models on different ...
Interview Preparation Tips
- Python
- Pandas
- SQL
- Machine Learning
Skills evaluated in this interview
(2 Questions)
- Q1. Gen AI projects
- Q2. Architecture of projects I worked
DSA and ML, AI, Coding question
(1 Question)
- Q1. Case study which was easy
(1 Question)
- Q1. In depth questions on ML
I was interviewed in Nov 2024.
(2 Questions)
- Q1. Project related questions
- Q2. Coding questions
Selected
I applied via Naukri.com and was interviewed in Oct 2023. There were 4 interview rounds.
Sql, python, Statistics mcq, Aptitude test. These were medium level questions.
(3 Questions)
- Q1. SQL and python, time complexity
- Q2. Make 2 lists a=[1,2,3,4] b=[9,8,5,5,2,3,3,4,1,1,10,9,2,3,4,10,10,9,7,7,8] Write a program to remove duplicate of b and keep only those elements of b which are not present in a, and the final list should ...
- Ans.
Remove duplicates from list b, keep elements not in list a, and sort in ascending order.
Create a set from list b to remove duplicates
Use list comprehension to keep elements not in list a
Sort the final list in ascending order
- Q3. SQL question Remove duplicate from a table tab1
- Ans.
Use the DISTINCT keyword in SQL to remove duplicates from a table.
Use the SELECT DISTINCT statement to retrieve unique rows from the table.
Identify the columns that should be used to determine uniqueness.
Example: SELECT DISTINCT column1, column2 FROM tab1;
Given 2 case studies on data science and asked different possibilities to improve the models.
How to work with imbalance dataset.
How to remove null values, what is features engineering.
What is PCA
What is the working of XGBOOST
(1 Question)
- Q1. What was last project, tell me in detail. There were different technical questions related to my project
Interview Preparation Tips
All the metrics of evaluating a model.
Linear regression, logestic regression, random forest, decission tree, adaboost, Gradient boosting, XGb in detail.
Recall, precision roc_curve. Auc, f1 score, mse,mae, r2, adjusted r2 score.
Is it possible that r2 score appears in minus
Skills evaluated in this interview
Selected
I was interviewed before May 2023.
(1 Question)
- Q1. Model performance metrics
(1 Question)
- Q1. Xgboost technical details
Insurance customer acquisition
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Selected
I applied via campus placement at Coimbatore Institute of Technology, Coimbatore and was interviewed before Jul 2023. There were 2 interview rounds.
On Machine learning and aptitude
Case study to assess our analytical skills
Selected
I applied via Naukri.com and was interviewed before May 2022. There were 4 interview rounds.
(1 Question)
- Q1. Python Questions
(2 Questions)
- Q1. Machine Learning Questions
- Q2. Statistics Questions
(1 Question)
- Q1. Management Questions
I was interviewed in Oct 2021.
(1 Question)
- Q1. Project discussion and basic machine learning
(1 Question)
- Q1. Project discussion, puzzle, deep learning
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