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Report abuseHi there!
π From crunching numbers to training algorithms, my journey into data science has been driven by a fascination with turning complex data into meaningful insights.
π Completed my Master's in Applied Data Science from University of Michigan, where I developed a passion for building scalable ML solutions.
π 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.
π» Currently writing articles that make complex ML concepts accessible to everyone π
π± I'm always interested in:
π οΈ Tech Stack:
π« Let's connect and build something awesome! Feel free to reach out for collaborations or just to chat about data science / machine learning.
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 β¦
Jupyter Notebook 1
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
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
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