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Ronitt272/README.md

Hey there👋, I'm Ronitt Mehra

With both industry and research experience, I have developed impactful solutions across domains like pharmaceuticals and finance, leveraging advanced machine learning pipelines, MLOps, LLMs, scalable microservices, and cloud technologies to drive innovation and enable high-performance, real-world applications.

  • 🎓 Master of Science in Computer Science from Columbia University, with a specialization in Machine Learning
  • 🤖 Enthusiast in LLMs, building scalable AI systems, and delivering data-driven solutions to tackle real-world challenges
  • 💻 Passionate about Machine Learning, Software Development, and Cloud Technologies
  • 🚀 Always excited to learn and collaborate on innovative projects!

Reach out to me at: rm4084@columbia.edu

🤝 Connect with Me:

LinkedIn

👩‍💻 Technical Skills

Python C++ C Java SQL NoSQL JavaScript TypeScript FastAPI Flask Streamlit React Express.js Node.js REST API GraphQL Socket.io AWS Docker GitHub Actions CI/CD OpenTelemetry TensorFlow PyTorch Keras Hugging Face Scikit-learn LangChain Pandas NumPy Matplotlib Seaborn NLTK Kubernetes GCP GKE Git GitHub Jupyter Google Colab VS Code PyCharm Agile

📊 GitHub Stats

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  1. Personalized-Book-Recommendations-from-Amazon-Reviews Public

    Engineered collaborative and content-based filtering systems, attaining an RMSE of 1.0535 for precision recommendations.

    Jupyter Notebook

  2. Enhanced-Information-Retrieval-System-with-Query-Expansion Public

    Enhanced Information Retrieval System leveraging relevance feedback and Rocchio's Algorithm for query expansion to improve Google search results.

    Python

  3. Web-Information-Extraction-with-SpanBERT-and-Gemini Public

    Built a robust web information extraction pipeline using SpanBERT and Google Gemini to extract precise relation tuples

    Python

  4. Behavioral-Pattern-Mining-in-NYC-Squirrel-Data Public

    Uncovered significant behavioral patterns by implementing the A-Priori algorithm to extract over 750 association rules from the 2018 NYC Central Park squirrel census.

    Python

  5. Event-Management-System Public

    A secure event management system built over MongoDB, Express.js, Express.js, React.js and Node.js (MERN stack) with Passport.js authentication. Deployed on Firebase.

    JavaScript

  6. LLM-Enhanced-Trading Public

    A sentiment-driven trading system leveraging FinGPT for real-time financial news and social media sentiment extraction to enhance trading outcomes.

    Jupyter Notebook 8 3