Affine Data Scientist Interview Questions and Answers for Experienced

Q1. Proficiency in cloud technology
Ans. 
Proficiency in cloud technology is essential for data scientists to efficiently store, manage, and analyze large datasets.
• Experience with cloud platforms like AWS, Azure, or Google Cloud

• Knowledge of cloud storage solutions like S3, Blob Storage, or Cloud Storage

• Understanding of cloud computing concepts like virtual machines, containers, and serverless computing

• Ability to work with big data technologies like Hadoop, Spa
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2 coding questions in 45 min

Q1. Basics of java and frameworks
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Q2. Basics of SQL and types of queries
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30 min of logical reasoning and basic aptitude

30 min of GD over a general topic to check your communication skills

Q1. Why do you want to join our company
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Q2. Why should we hire you
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Q1. Oops concepts, core java
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Q2. Java 8 stream api and lambda
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Worst experience company is not so good

Q1. What is object oriented programming
Ans. 
Object oriented programming is a programming paradigm based on the concept of objects, which can contain data and code.
• OOP focuses on creating objects that interact with each other to solve problems

• Encapsulation, inheritance, and polymorphism are key principles of OOP

• Examples of OOP languages include Java, C++, and Python
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Q2. Questions on data structute
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Q1. Difference between CNN and MLP
Ans. 
CNN is used for image recognition while MLP is used for general classification tasks.
• CNN uses convolutional layers to extract features from images while MLP uses fully connected layers.

• CNN is better suited for tasks that require spatial understanding like object detection while MLP is better for tabular data.

• CNN has fewer parameters than MLP due to weight sharing in convolutional layers.

• CNN can handle input of varying
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