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M3M397/README.md

Hi there, I'm Muhammad Bazil 👋

I am a first-year Data Science student with a focused interest in statistical analysis, machine learning, and data-driven problem solving.

With a background in front-end development, I combine analytical thinking with structured presentation enabling me to extract insights from data and communicate them effectively through clean, user-oriented solutions.

My current areas of development include:

  • Exploratory Data Analysis (EDA)
  • Data Cleaning & Feature Engineering
  • Foundations of Machine Learning
  • Core Statistical Concepts

I actively build practical projects to apply theoretical knowledge to real-world datasets.

🛠️ Tech Stack

Core Data Science: Python Pandas NumPy Matplotlib

GUI & Desktop Apps: Tkinter Streamlit

Web Front-End: HTML5 CSS3 JavaScript

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  1. fake_news_classifier fake_news_classifier Public

    A Python OOP project that classifies news headlines and articles as Real, Suspicious, or Fake using source reputation, sentiment analysis, and clickbait detection. Built with Streamlit, SQLite, and…

    Python

  2. pakistan-economic-analysis pakistan-economic-analysis Public

    A data-driven exploration of Pakistan's economic, social, and technological development from 1960 to 2024 using World Bank data.

    Jupyter Notebook

  3. covid19-dashboard-powerbi covid19-dashboard-powerbi Public

    A comprehensive 4-page interactive dashboard built in Power BI analyzing global COVID-19 trends from 2020 to 2024 using real-world data from Our World in Data. The dashboard covers case distributio…

  4. Library-Management-System Library-Management-System Public

    Modular Library Management System built with Python, Tkinter, and SQLite featuring Regex-based ID validation and real-time inventory tracking.

    Python

  5. netflix-content-analysis-dashboard netflix-content-analysis-dashboard Public

    Data analysis and dashboard project exploring Netflix content trends using Excel

  6. To-Do-List To-Do-List Public

    This is a simple and user-friendly To-Do List web application with a clean and intuitive design, this app allows users to manage their tasks efficiently.

    CSS 1