https://github.com/adityav42/deloitte-forage-virtual-internship
About Submission for Deloitte's STEM Virtual Program on Forage, focusing on data analysis, forensic technology, and cybersecurity.
https://github.com/adityav42/deloitte-forage-virtual-internship
coding cybersecurity data-analysis deloitte development forage forensics-technology virtual-program
Last synced: 9 months ago
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About Submission for Deloitte's STEM Virtual Program on Forage, focusing on data analysis, forensic technology, and cybersecurity.
- Host: GitHub
- URL: https://github.com/adityav42/deloitte-forage-virtual-internship
- Owner: AdityAV42
- Created: 2025-01-28T02:45:11.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-29T08:45:11.000Z (over 1 year ago)
- Last Synced: 2025-02-23T05:16:57.574Z (over 1 year ago)
- Topics: coding, cybersecurity, data-analysis, deloitte, development, forage, forensics-technology, virtual-program
- Language: Python
- Homepage:
- Size: 16.8 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Deloitte-Forage-Virtual-Internship
This repository contains my submissions for the **Deloitte STEM Virtual Program**. As part of this program, participants assist **Daikibo Industrials**, a global leader in heavy machinery manufacturing, in tackling various operational challenges.
This repository documents my completion of **three courses** in the Deloitte Virtual Internship on Forage.
## Course 1: Deloitte - Technology
### Task 1: Coding
Daikibo is integrating **Industrial Internet-of-Things (IIoT)** devices to monitor and analyze their manufacturing processes. However, their infrastructure handles telemetry data in two different formats. The challenge is to merge these data files efficiently.
**Key Learnings:**
- Manipulating JSON files in Python
- Writing and executing unit tests using the `unittest` framework
### Task 2: Development
Real-time monitoring and smart alerts enhance operational efficiency. Daikibo's tech team needs a **real-time manufacturing status dashboard**. The first step in this project involves drafting a **development proposal**.
**Key Learnings:**
- Writing clear and persuasive software development proposals
## Course 2: Deloitte - Cyber
### Task 1: Cybersecurity
A major news outlet has leaked sensitive information about Daikibo Industrials, revealing a **production halt** impacting supply chains. The client suspects a **security breach** in their new status dashboard.
**Key Learnings:**
- Analyzing web log files to detect anomalies
- Identifying suspicious activities through log analysis
**Findings:**
The dashboard is hosted on Daikibo’s intranet, with remote access restricted to **VPN tunneling**. Log analysis revealed that a user with IP `192.168.0.101` initially accessed the dashboard normally but later exhibited **automated hourly access** to status updates across four factories—indicating potential unauthorized activity.
## Course 3: Deloitte - Data Analytics
### Task 1: Data Analysis
Daikibo's tech team compiled **one month’s telemetry data** (May 2021) from four factories:
- **Daikibo Factory Meiyo** (Tokyo, Japan)
- **Daikibo Factory Seiko** (Osaka, Japan)
- **Daikibo Berlin** (Berlin, Germany)
- **Daikibo Shenzhen** (Shenzhen, China)
Each site operates **nine types of machines**, reporting status updates every 10 minutes. The goal is to analyze:
1. **Which location experienced the most machine failures?**
2. **Which machines had the highest failure rate at that location?**
**Key Learnings:**
- Utilizing **Tableau** to create interactive dashboards
- Extracting insights from large datasets
### Task 2: Forensic Technology
Due to **internal concerns over gender pay inequality**, Daikibo wants to quantify the fairness of compensation across various job roles and locations. The **Forensic Technology team** has developed an algorithm to measure gender pay equality.
**Key Learnings:**
- Applying **Excel functions** for data analysis and pattern recognition
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