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S&P Global Data Scientist Interview Questions and Answers
S&P Global Data Scientist Interview Experiences
1 interview found
Anonymous
Selected
I applied via Approached by Company and was interviewed before Mar 2023. There was 1 interview round.
(2 Questions)
- Q1. Past projects of machine learning
- Ans.
Developed a predictive model for customer churn using machine learning algorithms.
Used Python and scikit-learn library for data preprocessing and model building
Performed feature engineering to improve model performance
Evaluated model performance using metrics like accuracy, precision, and recall
- Q2. Distributed computing and spark questions
Skills evaluated in this interview
Interview questions from similar companies
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
(2 Questions)
- Q1. Explain any ML model.
- Q2. Create Dataframe from two lists.
Interview Preparation Tips
- Python
- pandas
- ML
I applied via Company Website and was interviewed in Jun 2024. There were 2 interview rounds.
Basic aptitude , tech aptitude
(2 Questions)
- Q1. What is overfitting
- Q2. How to handle missing values
DSA and ML, AI, Coding question
(1 Question)
- Q1. Case study which was easy
(1 Question)
- Q1. In depth questions on ML
Given 6 coding qns related to java and html and also ML.
(1 Question)
- Q1. Explain abt projects and qns related to ML.
- Ans.
Projects in machine learning involve developing algorithms to analyze and interpret data for various applications.
Developing a recommendation system for an e-commerce website
Predicting customer churn for a telecommunications company
Classifying images in a computer vision project
Anomaly detection in network traffic for cybersecurity
Natural language processing for sentiment analysis
(1 Question)
- Q1. Basic hr qns why straive?
Skills evaluated in this interview
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
I was interviewed in Nov 2024.
(2 Questions)
- Q1. Project related questions
- Q2. Coding questions
I applied via campus placement at National Institute of Technology (NIT), Tiruchirappalli and was interviewed in Oct 2023. There were 3 interview rounds.
2hrs - sections include aptitude, machine learning, deep learning and two easy python coding questions
(4 Questions)
- Q1. Resume scrutiny with projects and internships
- Q2. How to measure 45 mins duration using two identical wires
- Q3. Partition a round cake into eight equal parts within three cuts
- Q4. 10 coins puzzle (5 heads up and 5 tails up)
Interview Preparation Tips
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
I applied via Naukri.com and was interviewed in Feb 2024. There was 1 interview round.
(2 Questions)
- Q1. Cross validation
- Q2. How to handle imbalanced dataset
- Ans.
Handling imbalanced datasets involves techniques like resampling, using different algorithms, and adjusting class weights.
Use resampling techniques like oversampling the minority class or undersampling the majority class.
Utilize algorithms that are robust to imbalanced datasets, such as Random Forest, XGBoost, or SVM.
Adjust class weights in the model to give more importance to the minority class.
Use techniques like SMO...
Interview Preparation Tips
Skills evaluated in this interview
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