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MoeedKhan-AMK/README.md

Hi 👋 I'm Moeed Khan

Data Analyst | Data Scientist

🚀 About Me

🌱 Transitioning into Data Science & Machine Learning from a Blockchain background. 📊 Strong interest in data analysis, insights generation, and real-world datasets.

🛠️ Skills: • Python (Pandas, NumPy) • Data Cleaning, EDA & Visualization • Time-Series & Economic Data Analysis • Beginner-level Machine Learning concepts

🔭 Previously worked ~2–3 years in Blockchain: Smart Contract Developer (Solidity + Foundry), Community Manager, and Brand Ambassador at VanarChain.

🌐 Built and managed a 7,000+ member Web3 community. 💬 Happy to discuss Data, ML, Blockchain, and Community Growth.

🧰 Tech Stack

Data Science & ML

Python NumPy Pandas Matplotlib Seaborn Plotly Jupyter Kaggle SQLite SQL Regex PostgreSQL Anaconda Scikit-Learn

Blockchain & Web Dev

Solidity Foundry JavaScript HTML CSS

Community & Soft Skills

  • Community Building (7k+ members) • Discord Management • Onboarding & Content • Brand Growth

📊 GitHub Stats

GitHub Stats   Top Languages

🔗 Connect & Contact

GitHub LinkedIn X Email

⚡ Currently

  • Transitioning from Blockchain Development to Data Science & ML.
  • Building practical projects (Python, NumPy, Pandas, Matplotlib, Seaborn, Plotly, Jupyter, Kaggle).
  • Learning data cleaning, visualization, and model evaluation.

⚡ Fun Facts

  • I learn best by doing, breaking, and rebuilding.
  • Taught thousands of beginners Web3 in simple language.
  • Now repeating the journey in Data Science & ML — with the same passion.

⭐ If you liked my profile, consider following — it motivates me to keep building!

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  1. Telco-Customer-Churn-EDA Telco-Customer-Churn-EDA Public

    The project aimed to analyze customer behavior and identify factors responsible for churn in telecommunication company. Insights obtained from this analysis can help business design effective custo…

    Jupyter Notebook

  2. Economic-Data-Analysis-Project Economic-Data-Analysis-Project Public

    The project's goal is to detect variations in participation rates by analyzing patterns in labor force unemployment and participation over time across US states. In order to effectively deliver ins…

    Jupyter Notebook

  3. numpy-industrial-data-analysis numpy-industrial-data-analysis Public

    This project showcases a high-performance, NumPy-based data processing pipeline built for a fictional client, EnviroTech Dynamics, which manages large-scale industrial sensor networks. The goal is …

    Jupyter Notebook

  4. Jarvis-AI Jarvis-AI Public

    Jarvis-AI is an VOICE-ACTIVATED VIRTUAL ASSISTANT, built to utilize OpenAI's GPT-3.5-turbo model to carry out activities like web surfing, music playback, news retrieval, and user query response.

    Python

  5. Machine-Learning Machine-Learning Public

    Jupyter Notebook

  6. Lottery-dApp Lottery-dApp Public

    A Beginner's Level Decentralized Lottery Application