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MoksedurRahman/README.md
  • 👋 Hi, I’m @MoksedurRahman – Aspiring Data Scientist & Python Enthusiast
  • 🔭 Passionate about turning data into actionable insights using Python, machine learning, and visualization tools
  • 👀 Interested in Deep Learning, Computational Neuroscience, and Brain Connectivity
  • 🌱 Currently learning: Deep Learning, real-world ML applications, and Brain Connectivity
  • 📊 Enjoy working on data science, machine learning, and data visualization projects
  • 📫 How to reach me https://www.kaggle.com/moksedurrahman,
  • https://github.com/MoksedurRahman

  • https://www.linkedin.com/in/moksedur-rahman

  • https://medium.com/@moksedur.rahman

  • https://moksedurrahman.github.io/
  • 🌍 Location: UK (open to remote/hybrid roles)

🧰 Tech Stack

Languages: Python, SQL, Java
Libraries & Frameworks: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, OpenCV
Tools & Platforms: Jupyter Notebook, Git, VS Code
Areas of Expertise: Data Analysis, Machine Learning, Deep Learning, Data Visualization, DSA in Python
Past Experience: Enterprise Application Development (Java, Oracle DB), Web Development (PHP, MySQL), Desktop based Garments ERP(C#.net, Oracle DB)

🔧 Projects

Here are a few highlighted projects:

  • 🚗 Fuel Efficiency Analysis and Visualization using Python
    This project analyzes the FuelConsumption.csv dataset to explore how engine size, cylinders, and fuel consumption affect CO2 emissions. It includes data cleaning, visualizations, and a regression model to predict emissions using Python.

  • 📊 Heart_Disease_Classification
    To build and evaluate classification models that can accurately predict the likelihood of heart disease using structured health data, enabling better preventive healthcare decisions.

  • 📚 Data-Sructures-Algorithms-Python
    curated collection of data structures, algorithms, and problem-solving techniques using Python. This repository is part of my learning and preparation journey for coding interviews and competitive programming.

⌛ Throughout the week, I dedicated time to...

From: 29 March 2026 - To: 04 April 2026

No activity tracked

📈 GitHub Stats

GitHub Stats

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  1. fuel-consumption-analysis fuel-consumption-analysis Public

    Fuel Efficiency Analysis and Visualization using Python

    Jupyter Notebook

  2. heart_disease_classification heart_disease_classification Public

    Heart Disease Classification: Predicting Cardiovascular Risk with Machine Learning

    Jupyter Notebook

  3. california-housing-price-prediction california-housing-price-prediction Public

    Problem Type Regression : Predict the median house value in California districts using census data.

    Jupyter Notebook

  4. customer-segmentation customer-segmentation Public

    Problem Type: Unsupervised Learning → Clustering : Segment mall customers into distinct groups based on spending behavior.

    Jupyter Notebook

  5. machine-learning-problem-types machine-learning-problem-types Public

    This repository is organized by **machine learning problem types**, covering theory, code, datasets, and example use cases. It's designed for learning, experimenting, and showcasing understanding o…

    Python

  6. data-structures-algorithms-python data-structures-algorithms-python Public

    curated collection of data structures, algorithms, and problem-solving techniques using Python. This repository is part of my learning and preparation journey for coding interviews and competitive…