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priyanka2802/README.md

Hi, I'm Priyanka 👋

🎯 Senior Data Scientist | Generative AI & Machine Learning
Building data-driven products and end-to-end AI pipelines — from research to production.

🔬 What I do

  • Generative AI: LLMs, RAG pipelines, prompt engineering, evaluation
  • Deep Learning: CV & NLP (CNNs, RNNs, Transformers, ensemble models)
  • Data Science: forecasting, denoising, anomaly detection
  • MLOps: reproducibility, CI/CD, experiment tracking

🚀 Featured Projects

🌐 Connect

⭐️ Always exploring new ways to apply GenAI for real-world impact.

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  1. pdf2podcast-genai pdf2podcast-genai Public

    An end-to-end GenAI pipeline that transforms research papers (PDFs) into engaging podcast episodes using LLMs for summarization, dialogue, and voice synthesis.

    Jupyter Notebook

  2. efficientnet-ensemble efficientnet-ensemble Public

    Ensemble of EfficientNetV2B1 models for vehicle counting and traffic signal recognition in images.

    Jupyter Notebook

  3. rnn-weather-forecasting rnn-weather-forecasting Public

    Recurrent neural network (RNN) for 24-hour weather prediction, benchmarked against baseline models.

    Jupyter Notebook

  4. autoencoder-denoising autoencoder-denoising Public

    Denoising autoencoder trained on augmented MNIST data to remove noise from digit images.

    Jupyter Notebook