Submission for the STEM Virtual Program by Deloitte via Forage.
About this project
Deloitte Forage This repository contains my submission for the Deloitte STEM Virtual Program. In this program, students are asked to help Daikibo Industrials (a global leader in manufacturing of heavy machinery) with a variety of problems that they are facing. 💻 Task 01 - Coding Daikibo is in the process of integrating IIoT (Industrial Internet-of-Things) devices to monitor, measure and analyze their manufacturing processes. Half of their infrastructure uses devices streaming telemetry data in one format, and the other half - in another. They need help to combine the two files. By completing this task, I learned how to manipulate json files in Python as well as how to use unittest framework to write and run test for a python code. 📊 Task 02 - Data Analysis Daikibo's tech team has converted all telemetry data collected from the 4 factories of the company: Daikibo Factory Meiyo (Tokyo, Japan) Daikibo Factory Seiko (Osaka, Japan) Daikibo Berlin (Berlin, Germany) Daikibo Shenzhen (Shenzhen, China) Each location has 9 types of machines, sending a message every 10 min.
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- Last push
- 5 Oct 2023
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