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NupurSrivastava02/README.md

👋 Hi, I’m Nupur Srivastava

🔍 I’m seeking Data Scientist / Machine Learning / Data Engineer roles.
I enjoy turning real-world data into insights, models, and decision-making tools.

💡 Interests & Focus

  • Applied Machine Learning, Deep Learning, and Predictive Modeling
  • Data Analysis, Visualization, and Statistical Inference
  • Real-world datasets, end-to-end pipelines, and model deployment

🧠 Currently Exploring

  • Advanced model training and optimization in PyTorch
  • Model explainability & performance evaluation
  • Real-time big data pipelines and production workflows

🤝 Open to Collaborations On

  • Machine Learning and Deep Learning projects
  • Computer Vision & NLP experimentation
  • Data storytelling and dashboard-based insights

📫 Connect With Me

Email: srivastavanupur2019@gmail.com
LinkedIn: https://linkedin.com/in/nupur-srivastava-ds
GitHub: (you’re already here 😊)

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  1. finlex-rag finlex-rag Public

    RAG pipeline for financial & legal document Q&A using LangChain, LlamaIndex, ChromaDB, and FastAPI

    HTML

  2. Multi-City-Transit-Delay-Forecasting Multi-City-Transit-Delay-Forecasting Public

    End-to-end ML pipeline to forecast transit delays across multiple cities (Seattle & Boston) using GTFS data, engineered temporal/traffic features, and regression models.

    Jupyter Notebook

  3. Project-CVE-Lakehouse-Pipeline-Cyber-Security-Analytics- Project-CVE-Lakehouse-Pipeline-Cyber-Security-Analytics- Public

    Data Lakehouse pipeline for cybersecurity vulnerability analytics using real-world CVE (Common Vulnerabilities and Exposures) data.

    Jupyter Notebook

  4. shipbreaking-analysis shipbreaking-analysis Public

    Data analysis of global ship scrapping (2014–2024), including data harmonization, trend analysis, and vessel lifecycle insights.

    Jupyter Notebook 1

  5. Data_Science_NLP Data_Science_NLP Public

    Personal Natural Language Processing based projects

    Jupyter Notebook

  6. californiahousepricing californiahousepricing Public

    This project builds and deploys an end-to-end machine learning pipeline to predict housing prices using the California Housing dataset

    Jupyter Notebook