hussam1/customer_segmentation_with_kmeans

The tutorial is meant as an introduction to customer analytics and to show you the power of clustering and segmentation. We'll go through manual clustering at first and then progress to use machine learning (unsupervised learning) to perform simple clustering tasks

Hi, I’m Hussam 👋, a Data Scientist (forever learning 🤓)

In my daily tasks, I provide internal data science consultancy, hence projects performed are diverse and serve different purposes:

Some examples of projects performed:

• Unsupervised learning Outlier detection data comes from procurment department
• Detailed EDA combined with statical A/B testing (multiple projects)
• Process Mining on AML process (Anti money laundry) using it to highlight not compliant portion of the process 🙄
• Network analysis to decode a very complex project management structure, explaining the interactions of project members in cross brands projects. Used later to identify bottlenecks and updates project's layouts
• Vehicle Sales value forecast, tested many models however model deployed eventually was XGBoost
• Document similarity NLP using DeepLearning Neural Network to classify and cluster massive amount of documents. eventually utilized by Auditing department saving them from going through all these documents manually 😅

I love good Visualization because: they're fun! 😄

🌱 Interested in developing my knowledge in NLP and Reinforcement learning

📫 Get in touch with me on LinkedIn.