Intern

Status
Intern at
Group/Division/Type
Real Estate
City
Mumbai
Interviewed
January 2022
Overall experience
Negative
Difficulty
Difficult

General Interview Information

Outcome
No Offer
Interview Source
College / University / On Campus Recruiting
Length of Process
1-2 months

Interview Details

What did the interview consist of?
1 on 1 Interview
Group Interview
Please describe the interview / hiring process.
The team was looking to hire students from the campus and offer them internship positions and if the hired individual were to perform up to the mark, they would be offered full time positions.
The interview was conducted in two stages. Firstly a group discussion about a general topic and your opinions about that general topic. The group size was 5 and 2 interviewees were removed at that point. The remaining candidates would have to give a personal, to a panel of 3.
The interview went on for about 30 minutes with conversations about the company, the job profile, why the candidate is interested in the job and future ambitions. There were a few technical questions as well. Other parts of the conversation also included your knowledge about the city and the ease with which you can navigate in and around the city
What were the most difficult or unexpected interview questions asked?
While all questions were uniquely difficult and unexpected, there was one such question that stood out. One of the panelist asked me, why was I maintaining a beard. He went on to emphasize how if he were to offer me a position at his firm, I would have to have a clean shaved face.
How did you answer each of these questions (please be specific)?
I was taken aback by such a question, but in order to tackle it, I did mention that it is not my shabby look and that I always maintained a beard. In order to make a case for myself, I also did mention that how I look should not be the criteria to evaluate or judge me as a candidate.

Overall Company Rankings

  • 5 Stars
  • 4 Stars
  • 3 Stars
  • 2 Stars
  • 1 Star
Overall Ranking

Overall Ranking is a score from 1 star (very bad) to 5 stars (excellent) generated based on the Company Reviews of current and former employees at this company, taking everything into account.

The number you see in the middle of the donut pie chart is the simple average of these scores. If you hover over the various sections of the donut, you will see the % breakdown of each score given.

The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few reviews). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire dataset.

3.7
Career Advancement Opportunities

Career Advancement Opportunities is a score from 1 star (very bad) to 5 stars (excellent) generated based on the Company Reviews of current and former employees at this company, taking everything into account.

The number you see in the middle of the donut pie chart is the simple average of these scores. If you hover over the various sections of the donut, you will see the % breakdown of each score given.

The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few reviews). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire dataset.

3.7
Senior Management

Senior Management is a score from 1 star (very bad) to 5 stars (excellent) generated based on the Company Reviews of current and former employees at this company, taking everything into account.

The number you see in the middle of the donut pie chart is the simple average of these scores. If you hover over the various sections of the donut, you will see the % breakdown of each score given.

The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few reviews). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire dataset.

4.0

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