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dr-mushtaq/README.md

Hi there πŸ‘‹ Dr.Mushtaq Hussain

πŸ‘‹ Greetings! I'm Mushtaq Hussain, a seasoned trainer and Assistant Professor renowned for my extensive experience in both industry and academia. My expertise lies in the dynamic realm of Data Science, where I excel in harnessing the power of Python, MATLAB, RapidMiner, and a comprehensive suite of cutting-edge tools. With a robust background in machine learning and deep learning methodologies, I am dedicated to advancing knowledge and fostering innovation in these transformative fields. Explore my GitHub repository to witness firsthand my commitment to excellence and my contributions to the evolution of data-driven solutions.

πŸ’» My journey in the field of Machine Learning (ML) and Deep Learning has been enriching, marked by hands-on experience and a commitment to innovation. As an Assistant Professor at the Virtual University of Pakistan, I blend practical industry insights with academic rigor to empower the next generation of data enthusiasts.

πŸ”¬ Whether it's unraveling complex datasets, building predictive models, or diving into the depths of deep learning architectures, I thrive on the challenge of solving real-world problems through data analysis.

πŸš€ Let's connect and explore the endless possibilities at the intersection of data and technology!

Languages,Libraries, Frameworks and Tools 🐍

anaconda logo python logo flask logo pandas logo numpy logo jupyter logo mysql logo pycharm logo selenium logo

Pandas scikit-learn PyTorch

Skills: Python (Kera, Sklearn) / Matlab /

  • πŸ”­ I’m currently working on Developing an AI-based chatbot system for Virtual University using Deep learning and Machine learning
  • 🌱 I’m currently learning Time Series analysis using Deep Learning and Machine Learning
  • πŸ‘― I’m looking to collaborate on Data Science Research Projects
  • πŸ“« How to reach me: mushtaqmsit@gmail.com
  • ⚑ Fun fact: Movies, Basketball

github linkedin facebook Reddit website orcid

    

✴️: Skills :

  1. Programming languages : Python [NumPy, Pandas, Scikit-learn, Keras
  2. Databases: My SQL,
  3. Tools : Streamlit , Jupyter Notebook, Google Collab, Pycaret
  4. Visualization and Analytical Tools: Tableau, Matplotlib, Seaborn, PowerBI
  5. Machine Learning Skills - Data Preprocessing, Data Visualization , Model Validation and peformance, Regression, Classification, Neural network analysis
  6. Computer Vision Skills - Image Preprocessing, Image Visualization, image Classification

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