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👋 Hello, I'm Majid Ahmad Khan!

🧠 Data Scientist | 💻 AI/ML Developer

I am a passionate AI practitioner with a strong focus on Machine Learning, Deep Learning, and Computer Vision. With fluency in Python and C++, I love to transform data into actionable insights and build intelligent solutions.

🚀 Skills

I am skilled in using NumPy, Pandas, Pytorch, Scikit-learn, Transformers, AWS, Jupyter, Tensorflow, and more for problem-solving. My web tech expertise involves Django, HTML/CSS, Bootstrap, NodeJS, and Docker. I have also used Selenium, Beautiful Soup, Requests, and Scrapy for web scraping and testing tasks.

🔭 Future Interests

In the future, I am interested in diving deeper into MLOPS to bridge the gap between Machine Learning and Operations, aiming to streamline the deployment, monitoring, and maintenance of ML models in production.

🌐 Contributions

As an active member of the tech community, I contribute to Kaggle, GitHub, and Mozilla Common Voice.

Languages and Tools

  • Languages: Python, C++, C, Assembly
  • Web Development: Django, HTML5, CSS3, Bootstrap
  • Machine Learning / Deep Learning: PyTorch, Tensorflow, Scikit-learn, Streamlit, NLP, Computer Vision, CNN, LSTM, Transformers, OCR
  • Tools: AWS, GitHub, Google Colab, Kaggle, Jupyter, Hugging Face, Weights & Biases, MLflow, DVC, Airflow

My GitHub Statistics

🔥 Streak Stats

code-mj12

Connect with Me

  • 📚 Explore my latest data science projects, new datasets, and competitions on my Kaggle profile.
  • ✍️ Read my thoughts and articles on various topics related to Machine Learning on Medium.
  • 👔 Connect with me professionally on LinkedIn.
  • 📧 Feel free to reach out to me via email at [email protected] for any discussions or inquiries.

Looking forward to interacting with you!

MajidCodes's Projects

breast_cancer_eda icon breast_cancer_eda

Exploratory Data Analysis on breast cancer and using various AI models to predict breast cancer

devops-crash-course icon devops-crash-course

This beginner's DevOps course is your first step toward a DevOps engineering. This repo contains Cloud Native Theory, Workshops, Guides, Cool Cloud Native Projects and students contribution area.

sklearn-audio-classification icon sklearn-audio-classification

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

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