Amazon Development Centre India Ml Data Associate Interview Questions and Answers

It was pretty easy basic English understanding and aptitude

Q1. I was asked about ML , how alexa works and about my final year project
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The test consisted of an online written examination. Versant round and verbal n listening examination.

Self analysis and questions based on resume.

Q1. Tell me about yourself?
Ans. 
I am a data enthusiast with a background in machine learning and a passion for solving complex problems.
• I have a degree in Computer Science with a focus on data analysis

• I have experience working on various machine learning projects, including natural language processing and computer vision

• I am proficient in programming languages such as Python and R

• I have strong analytical and problem-solving skills

• I am eager to contin...read more
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Q2. What do you think about this company?
Ans. 
I think this company is innovative and values data-driven decision making.
• The company has a strong focus on machine learning and data analysis.

• They prioritize using data to drive business strategies and decision making.

• The company culture seems to encourage creativity and problem-solving.

• I appreciate the emphasis on continuous learning and professional development.
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Q3. Let's play some game. Find the differences between the pictures shown.
Ans. 
Find the differences between two pictures.
• One picture has a red car, the other has a blue car

• The background in one picture is sunny, while the other is cloudy

• There is a person in one picture but not in the other
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Q4. Are you flexible to work any shift?
Ans. 
Yes, I am flexible to work any shift as required for the role.
• I am willing to work any shift needed for the position

• I understand the importance of flexibility in a role like this

• I have previous experience working different shifts in my previous roles
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Q5. Are you ready to join right ahead?
Ans. 
Yes, I am ready to join right away and eager to start contributing to the team.
• I am excited about the opportunity to join the team and start working on ML data projects.

• I have the necessary skills and experience to hit the ground running.

• I am prepared to start immediately and make a positive impact on the projects.

• I am eager to learn and grow in this role.
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