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apooorv19/README.md

Hi, I'm Apurva ✨

🎓 Quantitative Economics and Data Science student at Birla Institute of Technology

🧠 Passionate about Data Science, Machine Learning & Scalable Backend Systems

📊 Experience in Data Visualization, Statistical Modeling, and Machine Learning

💻 Proficient in Python, R, and JavaScript with hands-on projects in AI-ML and Web Dev

🌐 Socials:

Instagram

💻 Tech Stack:

Python R Heroku Netlify Vercel MySQL Matplotlib Keras NumPy Pandas PyTorch scikit-learn Scipy TensorFlow

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  1. QEDS-RAG-Project QEDS-RAG-Project Public

    🎓 Production-grade RAG Tutor for handwritten notes. Features Hybrid Search (BGE-M3 + BM25), Cross-Encoder Reranking, and an LLM-based OCR cleaning pipeline.

    Python 1

  2. python-mini-projects python-mini-projects Public

    A sandbox for building and testing small Python applications.

    Jupyter Notebook

  3. stock-analysis-and-prediction stock-analysis-and-prediction Public

    A comprehensive financial dashboard that integrates real-time stock analysis, predictive forecasting, and risk assessment in a single, interactive platform.

    Python

  4. blinkit-dashboard blinkit-dashboard Public

    Designed a Power BI dashboard to analyze Blinkit’s $1.2M sales data, enabling outlet-level performance tracking, product category insights, and data-driven decision-making.