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nurulashraf/README.md

👋 Hi, I’m Nurul Ashraf

Aspiring Data Scientist from Kuala Lumpur, passionate about transforming data into impactful solutions through design and technology.


🚀 What I Do

  • Data & Design: Insights and user-focused solutions
  • Tech Savvy: Skilled in Python, Machine Learning, and Cloud Computing

Let’s connect and create meaningful projects!

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  1. customer-segmentation-hierarchical-clustering customer-segmentation-hierarchical-clustering Public

    A customer segmentation project using hierarchical clustering to group customers based on their spending behaviour and demographics. This helps businesses identify patterns and create targeted mark…

    Jupyter Notebook

  2. telco-customer-churn-prediction-model telco-customer-churn-prediction-model Public

    This repository contains a Telco Customer Churn Prediction project using machine learning. It includes data preprocessing, exploratory data analysis, feature engineering, and model development to p…

    Jupyter Notebook

  3. dbscan-silicon-defect-detection dbscan-silicon-defect-detection Public

    This project uses machine learning to detect anomalies in silicon wafers. It employs DBSCAN clustering and a Gradio interface for user interaction, enabling automated defect detection and enhancing…

    Jupyter Notebook

  4. polynomial-regression-manufacturing polynomial-regression-manufacturing Public

    A Python project implementing polynomial regression to analyse and predict manufacturing-related data. Features include data preprocessing, model training, and visualisation of results. Ideal for e…

    Jupyter Notebook

  5. kmeans-counterfeit-bills kmeans-counterfeit-bills Public

    K-means clustering analysis of banknote dimensions for counterfeit detection. Using standardised length and diagonal measurements, the model successfully identifies three distinct clusters, with on…

    Jupyter Notebook 1

  6. naive-bayes-loan-prediction naive-bayes-loan-prediction Public

    A simple machine learning project that predicts loan approval status using a Naive Bayes classifier. Includes data cleaning, model training, evaluation, and prediction steps to demonstrate the full…

    Jupyter Notebook