IIM Kashipur Interview: From Marketing Graduate to Analytics Aspirant – A Curious Crossover
Candidate Profile
- Background: BBA graduate with a specialization in Marketing
- Work Experience: Around 2 years of experience across sales, marketing, and data operations roles
- Academics:
- 10th Grade: 88%
- 12th Grade: 90%
- Undergraduate CGPA: 8.0
The candidate showcased a unique blend of creative and analytical exposure, having transitioned from customer-facing roles to a more technical back-end data role.
Interview Panel
- Panel Composition: 2 Interviewers
- Panelist 1: Female
- Panelist 2: Male
- Location: Online Interview
Interview Questions & Candidate's Approach
🟡 Icebreaker & General Questions
🔵 Panelist: Tell me about yourself.
🔵 Panelist: Why MBA in Analytics?
🔵 Panelist: Why did you leave your first job?
🔵 Panelist: Relationship between BBA and your work as a Data Operator.
🟢 Technical & Analytical Questions
🔵 Panelist: What is a Pivot Table in Excel?
🔵 Panelist: What’s your favorite subject?
🔵 Panelist: What is ChatGPT?
🔵 Panelist: What is OpenAI?
🔵 Panelist: How is ChatGPT different from Google? Explain with example.
🔵 Panelist: Sell me this pen.
🔵 General Awareness & Opinion-Based Questions
🔵 Panelist: What's the recent news in your neighboring state? (Atiq Ahmed case in UP)
🔵 Panelist: Do you think the CM of Bihar is suitable for PM candidature?
🔵 Panelist: Despite a declining image, why is he still popular?
🔵 Panelist: He's back with the RJD, previously called 'Jungle Raj' – is this good for Bihar?
Key Takeaways for Aspirants
- ✅ Leverage diverse experiences to show career evolution, especially when switching domains.
- ✅ Be ready to justify transitions with logical narratives.
- ✅ Stay sharp on technical tools like Excel and recent tech like ChatGPT.
- ✅ Prepare for abstract questions like political opinions and selling tasks.
- ✅ Maintain a calm and respectful demeanor throughout, even during curveball questions.
🔍 The above interview experience is based on real candidate interactions collected from various sources. To ensure privacy, some details such as location, industry specifics, and numerical figures have been altered. However, the core questions and insights remain authentic. These stories are intended for educational purposes and do not claim to represent official views of any institution. Any resemblance to actual individuals is purely coincidental.
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