TEG Analytics Interview Questions and Answers

Normal Group discussion

Q1. Cosing, project management etc
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Q1. Interview conducted by Hiring manager
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Q2. Some basic questions related to post you applied
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Q1. Talent acquisition manager takes your interview based on your resume and some general questions.
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Q1. Hr will ask basic profile related and resume related also asked some situation based questions.
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Q1. Will ask about your background, or field related and give overview about working culture and policy.
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Interviewer himself did not knew python or any other data analysis language

Excel, questions that were open ended

Q1. How will you work under female manager
Ans. 
I will work under a female manager just like I would under any other manager - with professionalism, respect, and open communication.
• I will communicate openly and honestly with my female manager, just as I would with any other manager.

• I will respect her authority and expertise, and follow her guidance and instructions.

• I will collaborate effectively with my female manager and the rest of the team to achieve our goals.

• I ...read more
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Q2. Are you willing to work for lower salary than previous
Ans. 
I am open to discussing salary based on the overall compensation package and opportunities for growth.
• I am open to discussing salary based on the overall compensation package and opportunities for growth.

• I would like to understand the reasons for the lower salary offer and how it aligns with the company's budget and market standards.

• I am willing to negotiate other benefits such as flexible work hours, additional vacati...read more
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Q3. Will your accomodation or salary structure needed to be validated in case you got married
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Q4. Will you work till 1 am in the morning as bjp politicians client can ask anything anytime
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Q1. Why ai and machine learning is only marketing term and not a real technology
Ans. 
AI and machine learning are real technologies with practical applications in various industries.
• AI and machine learning have been successfully used in various industries such as healthcare, finance, and transportation to improve efficiency and accuracy.

• Companies like Google, Amazon, and Facebook heavily rely on AI and machine learning algorithms to enhance their products and services.

• AI and machine learning technologie...read more
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Q2. Why python is an awful language and would you be willing to work as a back end developer using spring or Node
Ans. 
Python is not an awful language, but I am open to working with other technologies like Spring or Node.
• Python is a versatile and widely-used language in data analysis and machine learning.

• It has a large community and extensive libraries like Pandas and NumPy.

• Spring and Node are also popular choices for backend development, offering different strengths and capabilities.

• I am open to learning and working with new technolog
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Q1. Will you work under bond of 2 yrs ?
Ans. 
I am open to discussing the terms of the bond and considering the overall opportunity.
• I am willing to consider a bond if the terms are reasonable and the opportunity aligns with my career goals.

• I would like to discuss the details of the bond such as its purpose, consequences of breaking it, and any potential benefits for me.

• I may negotiate the duration of the bond or explore alternative options to ensure a mutually ben...read more
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Q2. We will give 30% of your salary as Variable pay after completion of 1 yr but we will decide when to give it to you. Would you still be willing to work for us as working for our company is a prestigious opp...read more
Ans. 
I would consider the offer based on the overall compensation package and career growth opportunities.
• I would need more information on the overall compensation package to make a decision.

• I would also consider the potential career growth opportunities and learning experiences at the company.

• It would be important to understand the criteria and timing for receiving the variable pay.

• I would evaluate the offer based on my lo...read more
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Q1. Tableau difference between blend &join
Ans. 
Blend combines data from different data sources in a single view, while join combines data from the same data source.
• Blend is used when data comes from different data sources, join is used when data comes from the same data source

• Blend creates a relationship between data sources without actually merging the data, join merges the data based on a common field

• Blend can be used to combine data from different databases like...read more
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Q1. SQL-related questions working of self join and what will be used in case of 2nd max
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