Capgemini Analyst (fresher) — 30 minutes on Superset, and a GenAI project that carried it

## Background
The whole thing happened on the **Superset** platform and wrapped up in about 25–30 minutes — quick as these things go, but it still covered a good amount of ground.

## Round-by-round

### Introduction
I kept it tight, 50–60 seconds: academics plus a couple of things I was proud of outside coursework.

### HR territory
Strengths and weaknesses — I backed both with actual examples instead of listing traits. A self-rating on **teamwork**, and a **decision-making** question that asked me to walk through a real situation rather than theorise about one.

### Technical
**Java** first, then core OOP — **Inheritance** and **Polymorphism** specifically.

### Project discussion
The most interesting part. The conversation turned to a personal project I'd built involving **Generative AI**, and I could tell it genuinely worked in my favour — it gave the interview more depth than rehearsed answers, and I think it's part of why things went the way they did.

## Verdict
**Selected** — Analyst role, 4.25 LPA (4 LPA base + 25K bonus).