ThoughtWorks Data Scientist Interview Questions and Answers

Q1. Data science related areas
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Case study related to semantic search

Q1. Questions based on case study
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Q1. Questions on Python datatypes, class, object, inheritance,
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Q2. Machine learning algorithms
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Machine learning algorithms are used to train models on data to make predictions or decisions.
• Supervised learning algorithms include linear regression, decision trees, and neural networks.

• Unsupervised learning algorithms include clustering and dimensionality reduction.

• Reinforcement learning algorithms involve learning through trial and error.

• Examples of machine learning applications include image recognition, natural l
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Q3. Sql queries and python coding questions
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Q1. Related to project
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Aptitude test

Q1. Derivatives related questions
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Q1. General questions, family background
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Q1. What are derivatives, swaps.
Ans. 
Derivatives are financial instruments whose value is derived from an underlying asset, while swaps are agreements between two parties to exchange cash flows or other financial instruments.
• Derivatives are contracts between two parties that derive their value from an underlying asset such as stocks, bonds, commodities, currencies, or interest rates.

• Swaps are agreements where two parties agree to exchange cash flows or ot...read more
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Q2. Options and futures
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It was related to work based questions only but training was provided as it came on our campus

Q1. What is MBS? All related to money market concepts
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Q2. What is ABS? All related to derivatives
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Q1. Tell me about yourself and previous work experience and above hedge fund
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Q1. Master feeder structure
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