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Asadullah-Irshad/README.md

👋 Hi, I'm Asadullah Irshad!

I am a Data Science and Artificial Intelligence professional with interests in Machine Learning, Deep Learning, and AI-driven solutions. 🔬 My interests include Artificial Intelligence, Machine Learning, Data Science, and Computer Vision, with a focus on applying AI to real-world problems in healthcare, technology, and other data-driven domains. 💻 I work primarily with Python and tools including PyTorch, TensorFlow, scikit-learn, pandas, NumPy, and SQL. 📚 I enjoy developing research-oriented machine learning projects and exploring how AI can be used to build reliable and practical solutions. 🌟 One of my research projects is Multimodal Surgical Site Infection Detection, where I explored machine learning approaches for detecting surgical site infections from multimodal data. 🤝 I am open to research collaborations, AI/ML projects, and opportunities involving data science and artificial intelligence. 📫 Connect with me on LinkedIn or explore my projects and research repositories on GitHub.

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  1. Brain-Tumor-Detection-CNN Brain-Tumor-Detection-CNN Public

    This project aims to detect brain tumors using different methods, including Convolutional Neural Networks (CNN) and VGG models, trained on MRI scanned images for accurate classification of tumor an…

    Jupyter Notebook

  2. Conformal-Trade-Execution Conformal-Trade-Execution Public

    Uncertainty-Aware AI: Conformal Prediction versus Reinforcement Learning for Optimal Trade Execution.

    Python

  3. Customer-Data-Preprocessing-and-Analysis Customer-Data-Preprocessing-and-Analysis Public

    Cleaning, restructuring, and exploratory analysis of 1,000 customer records — pure-Python preprocessing (CSV → nested JSON) plus a pandas/seaborn EDA with 12 figures and summary tables.

    Jupyter Notebook

  4. Global-Renewable-Energy-Consumption-Forecasting Global-Renewable-Energy-Consumption-Forecasting Public

    Benchmarking ARIMA, XGBoost, LSTM & Transformer for global renewable energy forecasting (World Bank, 1960–2020). Code for our CEIS 2026 paper.

    Python

  5. Musa-Snow-Data-Assimilation Musa-Snow-Data-Assimilation Public

    Musa — ensemble-based snow data assimilation coupling the FSM2 model with Bayesian filters and smoothers. Based on Alonso-González et al. (2022).

    Python

  6. Road-Accident-Data-Mining Road-Accident-Data-Mining Public

    Data mining of 1M+ UK road-safety records — EDA, Apriori association rules, KMeans clustering, and a fatal-injury classifier.

    Jupyter Notebook