This repository contains all deliverables and documentation from the Tata Data Analytics Virtual Internship, hosted on Forage. The project simulates a real-world consulting engagement with Geldium, a consumer credit and digital lending company, focused on reducing credit card delinquency using data science and AI.
This end-to-end analytics project was divided into four key tasks:
| Task | Focus Area | Key Outcome |
|---|---|---|
| Task 1 | Exploratory Data Analysis (EDA) | Identified key risk indicators from financial data |
| Task 2 | Predictive Modeling | Built a framework to predict high-risk customers |
| Task 3 | Business Reporting | Delivered a stakeholder-facing strategy to reduce delinquency |
| Task 4 | AI System Design | Designed an autonomous, ethical AI collections framework |
- 🔍 Exploratory Data Analysis (EDA)
- 📊 Predictive Modeling (Logistic Regression, Feature Engineering)
- 🧠 GenAI Prompting & Insight Translation
- 🗣️ Business Communication & Storytelling
- 🤖 Agentic AI System Design
- ⚖️ Ethical AI & Regulatory Alignment
This project was completed through the:
Tata Data Analytics Virtual Experience Program
Hosted by: The Forage – Tata iQ Simulation
Developed by Tata iQ to simulate real-world analytics consulting projects with a focus on responsible, impactful AI in finance.
- ✔️ Risk profiling through EDA
- ✔️ Predictive model design and evaluation strategy
- ✔️ SMART recommendations for collections strategy
- ✔️ Stakeholder-ready AI system design with compliance guardrails
I’m an AI & Data Science Enthusiast passionate about building smart systems and solving real-world problems through intelligent technologies. Prepared by: Ajay
Role: AI & Data Analytics Intern (Virtual)
For learning and showcase purposes only.