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.
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?
- 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
- 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.
Dashboard images included in the repository.
Investigate gender pay equality issues within Daikibo Industrials by analyzing role-based compensation equality scores.
- Excel file with:
FactoryJob RoleEquality Score(ranging from -100 to +100)
- Created a new column
Equality Classbased on score:Fair→ Score between -10 and +10Unfair→ Score < -10 or > 10Highly Discriminative→ Score < -20 or > 20
- Labeled every role accordingly in Excel.
- 📈 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.
Dashboard images included in the repository.
.png files– Tableau dashboard screenshotTask 2 Equality Table.xlsx– Completed Excel classification taskREADME.md– Project documentationdaikibo-telemetry-data.json- 25 lacs+ lines of telementory factory -machine json data
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.


