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04bhavyaa/README.md

👋 Hi there! Bhavya this side.

Passionate about AI, Data Science, and Machine Learning, I thrive at the intersection of technology, storytelling, and personal growth. Whether it’s building machine learning projects, writing thought-provoking articles, or inspiring others to embrace change, my goal is to create a meaningful impact.

🛠️ Technical Skills & Interests

  • Programming Languages: Python
  • Frameworks: Flask, Streamlit
  • Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, NLTK
  • Tools & Platforms:
    • Jupyter Notebooks, Anaconda, Git & GitHub, VSCode
    • Figma, Postman, GitHub Actions, DVC, DagsHub
    • Tableau, Power BI
  • Soft Skills: Communication, Problem-Solving, Adaptability, Leadership
  • Interests: Internet of Things (IoT), Predictive Analytics, Generative AI, Tech for Social Impact

🌱 What I’m Working On

  • Personal Projects: Music Recommender System, Expense Tracker, Book Recommendation System, Consultation Fee Prediction
  • Exploring Advanced Machine Learning Models: Deepening my expertise in neural networks and generative models.
  • Generative AI Applications: Understanding its potential in domains like content creation and data synthesis.

📈 Goals & Development

  • Open Source Contributions: Collaborating on projects that align with my passion for educational accessibility and tech for good.
  • Data Science for Social Impact: Leveraging predictive analytics to solve real-world challenges in education, accessibility, and digital transformation.
  • Collaborative Learning: Actively engaging with communities of fellow tech enthusiasts to share knowledge and grow together.

🤝 Connect with Me

LinkedIn | Kaggle | Medium | Substack

Let’s connect if you’re interested in collaborating, discussing data science, or exchanging ideas about technology and innovation.

💡 “The future belongs to those who embrace change and innovate boldly.” Happy Coding! 🚀

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  1. book-recommendation-system book-recommendation-system Public

    The Book Recommendation System provides personalized book suggestions using Popularity-Based Recommender, Collaborative Filtering, and Cosine Similarity. Implemented with Flask, it allows users to …

    Jupyter Notebook 1

  2. movie-recommender-system movie-recommender-system Public

    Basic Content Based Recommendation System using Cosine Similarity

    Jupyter Notebook

  3. machine-learning-from-scratch machine-learning-from-scratch Public

    Jupyter Notebook

  4. student-performance-predicition student-performance-predicition Public

    End-to-End score prediction ML Project

    Jupyter Notebook