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HassanMahmoodKhan/README.md

Hi there 👋

As a recent graduate from Concordia University Montreal with a Master’s degree in Electrical and Computer Engineering, I am deeply passionate about Machine Learning and Data Science. My enthusiasm drives me to engage in a variety of projects focused on implementing efficient end-to-end machine learning workflows across domains such as computer vision, predictive modeling, NLP, and time-series analysis. Alongside my expertise in machine learning, I have a solid foundation in data analytics and processing, developed through extensive hands-on experience. I am adept at utilizing relational databases and business intelligence tools to enhance project outcomes and achieve strategic objectives.

Skills

  • Programming Languages: C, C++, Java, Python, R, SQL

  • Tools and Frameworks: Microsoft Azure, AWS, Docker, Fairseq, Git, GitHub, Keras, Jira, Microsoft Office 365, SQL Server, PostgreSQL, CosmosDB, MATLAB, Matplotlib, Numpy, NLTK, ONNX, OpenVINO, Pandas, MS Power BI, PyTorch, Seaborn, Scikit-Learn, spaCy, Hugging Face Transformers, TensorFlow, TensorRT

  • Technical Skills: Academic Research, Computer Networks, Communication Skills, Data Modeling, Database Management, Data Science, Data Visualization, Deep Learning Frameworks, Machine Learning Algorithms, Natural Language Processing, Performance Tuning, Predictive Modeling, Statistical Analysis, Software Engineering

How to reach me: LinkedIn Profile

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  1. SMAT SMAT Public

    Forked from goutamyg/SMAT

    [WACV'24] Separable Self and Mixed Attention Transformers for Efficient Object Tracking

    Python

  2. Efficient-Brain-Tumor-Detection-for-Early-Intervention Efficient-Brain-Tumor-Detection-for-Early-Intervention Public

    Deep convolutional neural networks for brain tumor detection leveraging transfer learning and optimization through fully convolutional neural networks.

    Jupyter Notebook 4

  3. Strawberry-Variety-Identification Strawberry-Variety-Identification Public

    Employs a CNN-based multi-class strawberry variety classification. The predicted label is then used to feed a LLM for information retrieval on that particular strawberry. The entire codebase is shi…

    Python 2

  4. Machine-Learning-Based-Fault-Diagnosis-of-Electric-Drives Machine-Learning-Based-Fault-Diagnosis-of-Electric-Drives Public

    Fault diagnosis of some critical and non-critical faults in electric drives using anomaly detection.

    Jupyter Notebook 8 1

  5. A-Data-Driven-Analysis-of-Global-Income-Distribution A-Data-Driven-Analysis-of-Global-Income-Distribution Public

    This project aims to predict the income bracket of individuals based on a variety of features, and presents a holistic comparative analysis between multiple machine learning algorithms through hype…

    Jupyter Notebook

  6. Empowering-Business-Insights-Revenue-Analysis-in-Sports-Manufacturing Empowering-Business-Insights-Revenue-Analysis-in-Sports-Manufacturing Public

    Comprehensive revenue analysis using MS Power BI, offering a centralized space for an insightful dashboard, data visualizations, and analytics for informed decison-making.