Skip to content
View Muhyd33n's full-sized avatar

Block or report Muhyd33n

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Muhyd33n/README.md

Hi there 👋

Typing SVG

👯 I’m looking to collaborate on:

Projects involving CRM optimisation, RFM modelling, churn prediction, marketing analytics, and anything that turns raw data into clear commercial insight.

💬 Ask me about:

RFM segmentation, Incrementality, Customer Behaviour Analysis, Customer Life Time Value, and using Python to automate CRM and marketing analytics workflows.

Pinned Loading

  1. Apple-Plant-Diseases-Classification Apple-Plant-Diseases-Classification Public

    This work presented two different approaches, namely Training from Scratch and Transfer Learning, using Convolutional Neural Networks for the classification of apple plant diseases. CNN architectur…

    Jupyter Notebook

  2. Clustering-and-Recommendation-System-with-data-from-Spotify-API- Clustering-and-Recommendation-System-with-data-from-Spotify-API- Public

    This repository contains a project that implements a clustering and recommendation system using Spotify API data. The project leverages various machine learning techniques to analyze and cluster Sp…

    Jupyter Notebook 1

  3. libraryDatabase libraryDatabase Public

    Creation of Library Database using SQL in SQL Server

    TSQL

  4. TelecomCustomerChurnPrediction TelecomCustomerChurnPrediction Public

    Jupyter Notebook

  5. Customer-Postcode-Analytics-for-New-Site-Planning-and-Targeted-Marketing Customer-Postcode-Analytics-for-New-Site-Planning-and-Targeted-Marketing Public

    This tool helps brands identify where strong and high spending customers are located during new site planning. It delivers quick postcode based insights to highlight high potential areas and provid…

    Python 2

  6. Halloween-Candy-Challenge Halloween-Candy-Challenge Public

    This project takes a data-driven approach to help you become the most popular trick-or-treating house on the block! 🎃🍬 Using online votes ranking 85 different types of candy, the goal is to select …