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Tata Group – GenAI Powered Data Analytics Job Simulation

Platform: Forage
Organization: Tata Group
Domain: Generative AI • Data Analytics • Business Intelligence • Prompt Engineering


Project Overview

This repository showcases my successful completion of the GenAI Powered Data Analytics Job Simulation offered by Tata Group through Forage.

The simulation demonstrates how Generative AI can enhance data analytics workflows by supporting business decision-making, customer risk analysis, and strategic recommendations through AI-assisted insights and business storytelling.


Project Objectives

  • Perform Exploratory Data Analysis (EDA)
  • Conduct customer risk profiling
  • Predict customer delinquency using AI-assisted analytics
  • Create business reports and data-driven narratives
  • Recommend AI-driven collections strategies
  • Support business decision-making using Generative AI

Skills Demonstrated

Data Analytics

  • Exploratory Data Analysis (EDA)
  • Business Analytics
  • Customer Risk Profiling
  • Data Interpretation
  • Business Reporting
  • Data Storytelling

Generative AI

  • Prompt Engineering
  • Large Language Models (LLMs)
  • AI-Powered Data Analytics
  • AI-Assisted Decision Making
  • Business Storytelling with AI

Technical Skills

  • SQL
  • Python
  • Microsoft Excel
  • Data Visualization
  • Business Intelligence

Project Workflow

Business Data │ ▼ Exploratory Data Analysis │ ▼ Customer Risk Profiling │ ▼ AI-Assisted Analytics │ ▼ Business Reporting │ ▼ Strategic Recommendations


Tasks Completed

Task 1 – Exploratory Data Analysis

  • Explored customer datasets
  • Identified business risks
  • Performed customer risk profiling

Task 2 – AI-Assisted Delinquency Prediction

  • Applied AI-driven analytics
  • Evaluated customer delinquency scenarios
  • Generated analytical insights

Task 3 – Business Reporting & Storytelling

  • Prepared executive-friendly reports
  • Converted analytical findings into business recommendations
  • Applied data storytelling techniques

Task 4 – AI-Driven Collections Strategy

  • Designed AI-assisted recommendations
  • Suggested improvements for collections strategy
  • Focused on business value and operational efficiency

Business Impact

This simulation demonstrates how Generative AI can support organizations by:

  • Improving customer risk assessment
  • Enhancing decision-making with AI-generated insights
  • Supporting business reporting
  • Optimizing collections strategy
  • Enabling data-driven business recommendations

Key Learnings

  • Prompt Engineering
  • AI-Powered Analytics
  • Business Storytelling
  • Customer Risk Analysis
  • Decision Support Systems
  • Data-Driven Recommendations

Certificate

The completion certificate is available in the Certificate folder.


Repository Structure

GenAI-Powered-Data-Analytics-Forage │ ├── README.md ├── Certificate ├── Docs └── Images


Author

Manish Bokadia


⭐ If you found this repository useful, feel free to explore my other Data Analytics and Machine Learning projects.

About

GenAI Powered Data Analytics Job Simulation by Tata Group | Forage | Prompt Engineering | AI-Powered Business Analytics

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