diardanoraihan / DS_for_Business

Personal Data Science Projects for 6 Business Cases in Sales, Marketing, Operations, Human Resource, Public Relations, and Production/Maintenance Departments (in progress).

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Data Science for Business: 6 Real-World Case Studies

Personal Data Science Capstone Projects (in progress)

Build AI, Machine Learning, and Deep Learning Models to solve real-world business problems in HR, Marketing, Sales, Operations, PR, and Production projects.

Project Summary

Data science is a science of extracting useful information from a large, structured or unstructured amount of data to help business (company) solve problems. The practice includes data collection, data cleaning, data analysis and visualization, and machine learning modeling.

In this project, I leverage my data science skills to maximize business revenue, reduce cost, and optimize businesses process. I apply data science techniques to the following 6 departments:

  • Human Resources: Build AI models to reduce employees hiring and training costs by predicting which employees might leave the company. See the project here.
  • Marketing: Optimize marketing strategy to launch a targeted campaign by performing customer segmentation. See the project here.
  • Sales: Develop time series forecasting models to predict future product prices. See the project here.
  • Operations: Use Deep Learning to automate the process of detecting and classifying chest diseases in a hospital. See the project here
  • Public Relations: Coming soon
  • Production/Maintenance: Coming soon

Target Audience

This repository is targeted to those who want to gain a fundamental understanding of data science and solve real-world business problems, including:

  • Data Science Consultants,
  • AI Practitioners,
  • Aspiring Data Scientist and Tech Enthusiasts.

Thank you,

Diardano Raihan

About

Personal Data Science Projects for 6 Business Cases in Sales, Marketing, Operations, Human Resource, Public Relations, and Production/Maintenance Departments (in progress).


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