AXA Data Scientist Interview Questions and Answers

Q1. Technical ML QUESTIONS
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Q2. PYTHON QUESTIONS
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Q1. Whats is supervised learning
Ans. 
Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.
• Uses labeled data for training

• Predicts outcomes based on input features

• Examples include regression and classification algorithms
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Q2. What is unsupervised learning
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Unsupervised learning is a type of machine learning where the model is trained on unlabeled data without any predefined output labels.
• No predefined output labels are provided for the training data

• The model must find patterns and relationships in the data on its own

• Common techniques include clustering and dimensionality reduction

• Examples: K-means clustering, Principal Component Analysis (PCA)
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Q1. Self introduction, what's your qualification, how many years of experience.
Ans. 
I am a highly qualified professional with several years of experience in the field.
• I have a Bachelor's degree in Business Administration.

• I have 5 years of experience working in the finance industry.

• I am skilled in financial analysis, budgeting, and forecasting.

• I have successfully managed large-scale projects and teams.

• I am proficient in various financial software and tools.

• I have a proven track record of achieving targ
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Q1. Last company experiance
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Q1. Self intro, Excel based questions etc
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All the questions are based on the MCQ , and the syllabus is covered python SQL Power BI

Some questions from the Pandas Data Frame scenario based

Q1. Ask about work and coding
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