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grascya/README.md

👋 Hi, I'm Gracia

With over three years of experience in software development and architecture, I am now advancing my career in Machine Learning and AI. I specialize in designing and implementing models using TensorFlow, PyTorch, Scikit-learn, and AI SDK to solve real-world problems.

🌐 Socials:

LinkedIn

💻 Tech Stack:

HTML5 CSS3 Java Python Windows Terminal YAML Azure Anaconda Apache Hadoop Flask FastAPI OpenCV Apache Airflow MySQL Postgres SQLite Canva Figma TensorFlow Scipy scikit-learn PyTorch Pandas NumPy mlflow Matplotlib Keras Git GitHub Docker Kubernetes

📊 GitHub Stats:

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  1. Customer-Support Customer-Support Public

    Production-ready RAG-powered chatbot that achieves 86.7% accuracy on evaluation tests.

    TypeScript

  2. Forecasting-Electricity-by-Hour-RNN-vs-LSTM Forecasting-Electricity-by-Hour-RNN-vs-LSTM Public

    Explore the Production and Consumption of Electricity produced by different types of energy sources and build an RNN and LSTM to forecast them

    Jupyter Notebook

  3. Strength-of-Concrete-Prediction Strength-of-Concrete-Prediction Public

    Predict the compressive strength of concrete with maximum accuracy and lowest error (evaluation metrics MAE) , for various quantities of constituent components as the input

    Jupyter Notebook 1

  4. British-Airways-Customer-Reviews British-Airways-Customer-Reviews Public

    Scrape British Airways Customer Reviews, Analyse Reviews and draw insights.Build a predictive Model to Predict customer booking

    Jupyter Notebook

  5. Breast-Cancer-Detection Breast-Cancer-Detection Public

    Build classification models to predict whether the cancer type is Malignant or Benign.

    Jupyter Notebook

  6. Flower-Arrangement-Bouquet-Designer Flower-Arrangement-Bouquet-Designer Public

    This project is a sophisticated Multimodal Recommender System that bridges the gap between natural language processing and computer vision

    Python