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Time Until PGP Round 2 Deadline

Telecom Industry/9+ yrs

Interview Date

27th February, 2016

Work Profile

Telecom industry, analytics, 9+ years of experience

Re-Applicant?

Yes

Interviewers’ Profile

P1

P2

Your Opinion on the approach of the interviewers and their key focus

They seemed to have very few questions, and almost were waiting for the other person to ask the question.

 

Interview Experience:

Qn: Tell us what you currently do?

A: I work as analytics manager for a leading Telecom company in US….I analyse these campaigns and recommend whether we should go ahead with roll outs or not, or if we should change something in these campaigns. I am also responsible for our relationship with some of our externa analytics vendors.

Qn: Why do you want to do an MBA?

A: The first time I decided I wanted to do MBA was at my previous job as account manager. One of my responsibilities there was to grow business….Now to succeed, or even get into that role I would need to develop skills like global leadership , a broader perspective of business, knowledge of functions outside just marketing like Finance,  supply chain management etc,  which are best acquired through an MBA.

Followup Qn: What are some of the companies that you are looking to join after MBA from ISB?

A: BCG, McKinsey, Deloitte, AT Kearney.

Qn: What is your long term goal?

A: My long term goal is to be a global leader in a consulting firm. I want to be able to identify global industry trends, and accordingly reflect that in investments and strategies of my clients. I want to be able to provide thought leadership.

Qn:  What have you done after your previous app?

A: I completed an online course in Machine learning from Stanford, and am trying to implement state of art analytics in our processes. I change jobs since I last applied in a pursuit to learn about another industry outside CPG and Retail.

Followup Qn: Where is Machine Learning right now and where do you see in the next 5 years?

A:  Right now Machine learning is being used in a lot of different industries. Eg: Companies like Netflix use Machine learning models to classify its subscribers…In the next 5-10 years Machine learning will help us automate decision making to a further extent…

Followup Qn:  Do you think ML will be able to accurately predict based on people’s preference of looks?

A: That’s what we are aiming to get to. The whole point of Artificial intelligence is to be able to make logic of emotions, and be able to apply that in models. I think that’s where the industry is headed.

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