This repository contains the completed tasks and insights from the Deloitte Australia Data Analytics Virtual Job Simulation hosted on Forage.
As part of this simulation, I stepped into the role of a data analyst in Deloitte’s Forensic Technology team. The experience simulated real-world tasks involving data cleaning, analysis, visualization, and business recommendation reporting.
Objective
Create a 4th column named Equality Class based on the following logic:
| Equality Score Range | Classification |
|---|---|
| -10 to +10 | Fair |
| -20 to -11 or 11 to 20 | Unfair |
| Less than -20 or greater than 20 | Highly Discriminative |
The following formula was used in the Equality Class column (assuming Equality Score is in column C):
=IFS(C2<-20,"Highly Discriminative",C2>20,"Highly Discriminative",C2<-10,"Unfair",C2>=10,"fair",C2<=10,"Fair")
- Created an interactive dashboard to visualize key metrics
- Microsoft Excel: Data cleaning, classification, pivot tables, formulas
- Tableau: Data visualization, dashboard creation