DS2-Consulting

This repository contains the project realized within the scope of the course "Data Science: Consulting Approach" at WNE UW, 2024 edition. The objective of the project is to create a productivity analytics dashboard application for a manufacturing SME.

Project Structure

• Dashboard:

  • The Power BI dashboard is stored in the dashboard/power-bi folder along with the source .csv files.
  • The design for the background was created separately in PowerPoint and is stored in the dashboard/design folder.

• Data:

  • The original CSV dataset sourced from Kaggle is stored in the data folder.
  • This data underwent the process of Extract, Transform, Load (ETL) for preprocessing.

• Functions:

  • Python classes for data preprocessing and prediction model are located in the functions module.
  • To execute the ETL process, run main.py in the command prompt, which stores the client-ready data frame in the data folder.
  • For detailed testing of functions, refer to function_test.ipynb.

• Work Directory:

  • Additional codes for data verification, which are not employed in the main pipeline, are stored in the work_dir folder.

Dataset

Link to the original dataset: Productivity Prediction of Garment Employees

Contributors

• Irena Zimovska
• Pola Parol