I really enjoyed the Tata Data Analytics simulation. The Geldium delinquency case study was very practical. I learned how to go from EDA and predictive modeling to building an Agentic AI strategy with responsible AI guardrails. The tasks for cleaning data, model building and creating business report were very insightful and close to real-world banking analytics work.
Introduction from Tata
Tasks
Intro & Scenario
Background context and your project team
Your role
- You are an AI transformation consultant at Tata iQ, specializing in data-driven decision-making for financial services.
- You work within a larger data analytics team, collaborating with business leaders to develop AI-powered solutions.
- Your team has been tasked with helping Geldium Finance, a financial services company, reduce its high credit card delinquency rate by performing advanced analytics and building AI/ML models with the assistance of GenAI.
Your goal
- Your primary objective is to analyze customer data and predict delinquency risks using AI-driven techniques.
- You will develop a recommendation framework to help the Head of Collections at Geldium determine the best intervention strategies for at-risk customers.
- Throughout the project, you will ensure that AI-driven solutions are ethical, explainable, and effective in supporting responsible financial decision-making.
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