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MoksedurRahman/README.md

👋 Hi, I'm Md Moksedur Rahman

PhD Researcher in Computer Science | Data Scientist | Former R&D Team Lead

  • 🔭 Current Focus: Developing explainable deep learning models and advanced time-series analysis for electroencephalography (EEG) data to support the early detection of neurodegenerative diseases.
  • 👀 Research Interests: Explainable AI (XAI), Computational Neuroscience, EEG Signal Processing, and Deep Learning for Healthcare.
  • 💼 Industry Background: Over 11 years of professional tech experience, progressing from a Software Developer to an R&D Team Leader managing scalable enterprise architectures.
  • 🛠️ Technical Leadership: Actively directing a dedicated engineering team capable of delivering production-ready, enterprise Java and web applications.
  • 📫 How to reach me: Personal Website

🧰 Tech Stack & Tools

Domain Technologies & Frameworks
Research & Data Science Python, MATLAB, TensorFlow, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn
Enterprise Engineering Java, Spring Boot, Hibernate, SQL, Oracle DB
Web Development Angular, JavaScript, HTML5, CSS3
Tools & Platforms Git, Jupyter Notebook, VS Code

🔬 Core Areas of Expertise

  • Biomedical Signal Processing: Decoding complex temporal brain signals and artifact removal in EEG data.
  • Explainable Machine Learning: Engineering transparent, robust AI systems suited for real-world clinical deployment.
  • Enterprise System Design: Architectural oversight for large-scale production applications, ERP systems, and secure backend databases.

🔗 Connect With Me

🔧 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: 14 May 2026 - To: 21 May 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…