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TRAP33ZOID/README.md

👋 Greetings, I'm Waleed!

🧾 Resume

Feel free to contact me or check out my LinkedIn profile.

🤝 Let's Connect

I’m passionate about building innovative solutions and collaborating on projects in software development, data analytics, and artificial intelligence. Whether it's coding, data visualization, or developing machine learning models, I'm excited to contribute and grow with dynamic teams.

❓ Who Is He?

I'm a data-driven professional with a strong foundation in analytics, machine learning, and software engineering. I excel at transforming complex challenges into actionable insights, with hands-on experience in data extraction, cleaning, and visualization. My background in both engineering and information technology equips me with a versatile skill set, making me an ideal candidate for entry-level, co-op, and internship roles.

🛠️ Skills

Languages and Libraries

  • Python, SQL, HTML, CSS, JavaScript, Flask, pyMuPDF, BeautifulSoup, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, Spacy

Tools and Technologies

  • Git, Excel, Tableau, Jupyter Notebook, Azure DevOps, Salesforce

EDA & ETL

  • Data collection, cleaning, transformation, data warehousing, visualization, and correlation analysis

Machine Learning

  • Supervised Learning: Classification, Regression | Unsupervised Learning: Clustering

Soft Skills

  • Communication, Teamwork, Collaboration, Presentation, Project Management

🌱 Learning Goals

I’m continuously expanding my technical skills and am currently focusing on:

  • Natural Language Processing (NLP)
  • Deep Learning frameworks (PyTorch or TensorFlow)
  • Containerization with Docker
  • Big Data processing using PySpark
  • Cloud Data Platforms like Snowflake
  • Backend Development and API integration

🔭 Projects

Customer Churn Prediction Project

Developed a machine learning model to predict customer churn by analyzing service call data and pricing structures. By applying Logistic Regression and Random Forest, I identified key factors driving churn and provided actionable recommendations to improve customer retention.

AI-Driven Wildlife Data Visualization

Leveraged Tableau and Python to analyze FAA Wildlife Strikes data. This project uncovered critical trends—such as peak strike periods and geographic hotspots—informing strategies to enhance safety measures. It showcases my ability to blend data analytics with AI techniques to solve real-world challenges.

🚀 PEACE OUT

I’m always excited to connect, collaborate, and tackle new challenges. Whether you're looking for a passionate intern or a collaborative partner in engineering, software development, data analytics, or artificial intelligence, let's get in touch!

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

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  2. Bike-Sharing-Statistical-Modelling Bike-Sharing-Statistical-Modelling Public

    Jupyter Notebook 1

  3. Diabetes-Prediction-Supervised-Learning Diabetes-Prediction-Supervised-Learning Public template

    Forked from lighthouse-labs/ml-project-supervised-learning

    Jupyter Notebook 1

  4. SQL-Ecommerce-Data-Analysis SQL-Ecommerce-Data-Analysis Public

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  5. Tableau-Wildlife-Data-Visualization Tableau-Wildlife-Data-Visualization Public

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  6. Unsupervised-Learning-Wholesale-Analysis Unsupervised-Learning-Wholesale-Analysis Public template

    Forked from lighthouse-labs/ml-project-unsupervised-learning

    Jupyter Notebook 1