DXC Technology Data Scientist Interview Questions and Answers

Q1. NLP and Computer Vision based Question were asked.
Add your answer

Q1. General Questions on Machine Learning and deployments technique
Add your answer

Q1. Salary Negotiations and joining discussion
Add your answer

NER training using deep learning

Q1. Describe the approach taken for assignment
Ans. 
I approach assignments by breaking them down into smaller tasks, setting deadlines, and regularly checking progress.
• Break down the assignment into smaller tasks to make it more manageable

• Set deadlines for each task to stay on track

• Regularly check progress to ensure everything is on schedule

• Seek feedback from colleagues or supervisors to improve the quality of work
Answered by AI
Add your answer
Q2. Scenario based questions
Add your answer

Q1. Different ML Algorithms
Ans. 
There are various ML algorithms such as linear regression, decision trees, random forests, SVM, KNN, neural networks, etc.
• Linear regression is used for predicting continuous values

• Decision trees and random forests are used for classification and regression

• SVM is used for classification and regression

• KNN is used for classification and regression

• Neural networks are used for complex problems such as image recognition and
Answered by AI
Add your answer
Q2. Python Libraries
Add your answer

Q1. Tell me about your self?
Ans. 
I am a data scientist with a background in statistics and machine learning, passionate about solving complex problems using data-driven approaches.
• Background in statistics and machine learning

• Experience in data analysis and visualization

• Strong programming skills in Python and R

• Ability to communicate complex findings to non-technical stakeholders
Answered by AI
Add your answer
Q2. What is maths and stats
Ans. 
Maths and stats refer to the study of mathematical concepts and statistical methods for analyzing data.
• Maths involves the study of numbers, quantities, shapes, and patterns.

• Stats involves collecting, analyzing, interpreting, and presenting data.

• Maths is used to solve equations, calculate probabilities, and model real-world phenomena.

• Stats is used to make informed decisions, draw conclusions, and test hypotheses.

• Both ma...read more
Answered by AI
Add your answer

Confusion matrix what are your job rolls explain me Gradient boosting algorithm?

Leet code practice solve medium difficulty questions

Q1. Linear regression logistic regression deep learning nlp
Add your answer

Q1. Why do you want to join Sutherland?
Add your answer
Q2. What is your salary expectation?
Add your answer