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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 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 2

  2. machine-learning-from-scratch Public

    Jupyter Notebook

  3. student-performance-predicition Public

    End-to-End score prediction ML Project

    Jupyter Notebook

  4. langchain-models Public

    This project explores various LLMs and embedding models using LangChain, integrating OpenAI, Hugging Face, Google Gemini, and Anthropic. It includes chat models, document similarity search, and emb…

    Python

227 contributions in the last year

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Contribution activity

March 2025

Created 2 repositories
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