Skip to content
View ejazalam831's full-sized avatar
1 follower · 0 following

Block or report ejazalam831

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ejazalam831/README.md

Hi there!

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

🎓 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.

Pinned Loading

  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