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Completed Deloitte Australia’s Data Analytics Virtual Experience on Forage, solving real-world business problems using Excel and Tableau in a simulated professional environment

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Deloitte Australia Data Analytics Job Simulation (Forage) – Feb 2025

This repository contains my completed tasks from the Deloitte Australia Data Analytics Virtual Experience Program on Forage, completed in February 2025. The simulation involved solving real-world business problems using tools such as Tableau and Excel, simulating work done by Deloitte’s data analytics and forensic teams.


📊 Project 1: Factory Telemetry Analysis (Tableau)

🔍 Objective:

Analyze telemetry data collected from 4 global Daikibo factories to answer:

  • In which location did machines break the most?
  • Which machine types broke most often in that location?

📁 Dataset:

  • A unified 25 lacs+ lines of JSON file containing one month of telemetry data (May 2021), with 9 machine types sending messages every 10 minutes from:
    • 🏭 Meiyo Factory – Tokyo, Japan
    • 🏭 Seiko Factory – Osaka, Japan
    • 🏭 Berlin Factory – Berlin, Germany
    • 🏭 Shenzhen Factory – Shenzhen, China

✅ Tasks Completed:

  • Created a calculated field Unhealthy = 10 for each "unhealthy" machine message.
  • Built 2 interactive bar charts in Tableau:
    • Down Time per Factory
    • Down Time per Device Type
  • Developed a dashboard that filters machine types by factory.
  • Identified the factory with the most down time and the worst-performing machines.

📸 Screenshot:

Dashboard images included in the repository.

Dashboard Screenshot 1 Dashboard Screenshot 2


🕵️ Project 2: Gender Pay Equality Audit (Excel Forensics Task)

🔍 Objective:

Investigate gender pay equality issues within Daikibo Industrials by analyzing role-based compensation equality scores.

📁 Dataset:

  • Excel file with:
    • Factory
    • Job Role
    • Equality Score (ranging from -100 to +100)

✅ Tasks Completed:

  • Created a new column Equality Class based on score:
    • Fair → Score between -10 and +10
    • Unfair → Score < -10 or > 10
    • Highly Discriminative → Score < -20 or > 20
  • Labeled every role accordingly in Excel.

📌 Key Takeaways

  • 📈 Gained hands-on experience with Tableau for data visualization and interactive dashboards.
  • 📊 Applied data classification and logic in Excel for forensic analysis.
  • 🤝 Simulated real-world consulting tasks performed by Deloitte’s data analytics teams.
  • ⏱️ Managed analysis of over 100,000+ rows of telemetry and salary data.

📸 Screenshot:

Dashboard images included in the repository.

Excel Screenshot 1


📂 Files Included

  • .png files – Tableau dashboard screenshot
  • Task 2 Equality Table.xlsx – Completed Excel classification task
  • README.md – Project documentation
  • daikibo-telemetry-data.json - 25 lacs+ lines of telementory factory -machine json data

🌐 About the Program

Deloitte Australia x Forage – Data Analytics Job Simulation
Designed to help students and early professionals gain practical experience in the data analytics field through real-world case studies.


🏅 Certificate of Completion

📄 View Certificate (PDF)

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Completed Deloitte Australia’s Data Analytics Virtual Experience on Forage, solving real-world business problems using Excel and Tableau in a simulated professional environment

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