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ejazalam831/README.md

🚀 From crunching numbers to training algorithms, my journey into data science has been driven by a fascination with turning complex data into meaningful insights.

🎓 Recently completed my Master's in Applied Data Science from University of Michigan, where I developed a passion for building scalable ML solutions.

🔭 I believe the best data science solutions come from understanding both the business context and technical implementation. My background in finance gives me a unique perspective on how to create impactful AI solutions.

💻 Currently writing articles that make complex ML concepts accessible to everyone 📝

🌱 I'm always interested in:

  • Collaborating on ML/AI projects
  • Sharing knowledge and learning from others

🛠️ Tech Stack:

📫 Let's connect and build something awesome! Feel free to reach out for collaborations or just to chat about data science / machine learning.

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  1. rag-customer-support-chatbot rag-customer-support-chatbot Public

    RAG-powered customer support chatbot using LangChain, LangGraph, and Mistral AI. An intelligent assistant that eliminates hallucinations by grounding responses in knowledge bases with conversation …

    Jupyter Notebook

  2. product-review-analyzer product-review-analyzer Public

    BERKELEY HAAS AI ML: Capstone Project | Automated system that extracts key features and sentiment from product reviews using NLP and ML techniques and provide insights through interactive dashboard.

    Jupyter Notebook

  3. racial-bias-detection-using-nlp racial-bias-detection-using-nlp Public

    U-M MADS: Milestone Project | ML-powered system that detects and classifies racial bias in news articles using supervised and unsupervised learning techniques, to provide comprehensive bias analysis.

    Jupyter Notebook