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Laithwm/README.md
$ initializing laithwm ...
> loading data pipelines
> visual modules online
> transforming chaos into clarity

πŸ‘‹ Hey, I'm Laith

I’m a Data Science student at the National College of Ireland, focused on transforming data into stories that inform and inspire.
My work blends analytics, visualization, and narrative design β€” because data should do more than describe; it should connect.

πŸ“ Dublin β€’ 🎯 Predictive Analytics Β· Data Visualization Β· Machine Learning


βš™οΈ Tech Stack & Tools

Python Jupyter Notebook SQL Pandas NumPy Scikit-learn Tableau Power BI VS Code Git


πŸ“‚ Featured Projects

🎬 What Drives a Movie’s Success
A Tableau project analyzing what influences box-office success (1986–2016).
β†’ Tableau, Data Cleaning, Exploratory Visualization

πŸ“Š Customer Churn Prediction
A machine learning pipeline predicting telecom churn with EDA, feature engineering, and model tuning.
β†’ Python, Scikit-learn, Pandas


🧭 Beyond the Data

Outside of data, I’m always looking for stories and systems β€” whether that’s through content creation, playing pool, or travelling.
Each of these keeps me curious and grounded:

πŸŽ₯ Content Creation – I enjoy sharing what I learn and seeing how ideas connect when expressed visually.
🎱 Playing Pool – It sharpens focus, patience, and pattern recognition β€” skills that overlap surprisingly well with analytics.
🌍 Travelling – Experiencing new places challenges perspective and teaches adaptability, both in life and in problem-solving.

Precision in the data. Personality in the story.


πŸ“« Contact

Email: laith.mactari@gmail.com
LinkedIn: linkedin.com/in/laithwm

Popular repositories Loading

  1. Customer-Churn-Prediction Customer-Churn-Prediction Public

    Machine learning project predicting telecom customer churn using EDA, feature engineering, and classification models.

    Jupyter Notebook

  2. Handwritten-Digit-Recognition Handwritten-Digit-Recognition Public

    Deep learning model for handwritten digit classification with a CNN achieving 99.33% test accuracy on MNIST.

    Jupyter Notebook

  3. What-Drives-A-Movies-Success What-Drives-A-Movies-Success Public

    Data visualization project exploring the key factors influencing movie success using IMDb data (1986–2016). Built in Tableau with data preprocessing in Python.

  4. Laithwm Laithwm Public

  5. Dublin-Traffic-ML Dublin-Traffic-ML Public

    Machine learning project predicting hourly traffic volume across Dublin using SCATS sensor data β€” includes preprocessing, feature engineering, and regression modelling with Gradient Boosting and Ra…

    Jupyter Notebook

  6. Stock-Price-Prediction Stock-Price-Prediction Public