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Feenaz12/README.md

Hi, I'm Feenaz Nargund

Data Science Fresher | Turning data into stories


👤 About Me

🌟 Fresher in Data Science with a passion for uncovering hidden patterns and translating them into actionable insights.
💻 Skilled in Python, Pandas, NumPy, Scikit-learn and Machine Learning.
📊 Experienced in building interactive dashboards and data-driven applications.
🚀 Currently exploring Advanced AI models and Generative AI.
💬 Always up for conversations about data wrangling, visual analytics, and real-world applications of AI.


🛠️ Tech Stack


🚀 Projects

Personalized course & career recommendation engine based on student profiles.
Tech: Python, Pandas, Scikit-learn, TF-IDF, Machine Learning


Analyzes historical flight data and predicts flight delays using machine learning models.
Tech: Python, Pandas, Scikit-learn, Random Forest, XGBoost, Data Analysis

Analyzes hospital performance and patient feedback across the U.S. using CMS data. Provides insights into hospital quality, patient experience, emergency services, and ownership types with interactive dashboards.

Tech: Python, Pandas, NumPy,Matplotlib, Seaborn, SciPy,Data Analysis


📊 GitHub Stats

GitHub stats


🤝 Connect with Me


🙏 Thanks for visiting my profile!

Feel free to connect, collaborate, or just say hi.
Your feedback and messages are always welcome! 🚀

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  1. Learning_Recommendation_System Learning_Recommendation_System Public

    “Machine learning-based recommendation engine that personalizes course and career suggestions for students using TF-IDF and skill-based profiling.”

    Python 1

  2. Flight_Delay_Analysis Flight_Delay_Analysis Public

    “Predictive analytics project analyzing 3M+ U.S. flight records to forecast delays using Random Forest and XGBoost, improving operational decision-making for airlines.”

    Jupyter Notebook 1

  3. HealthData_IQ_Hospital_Insights_Patient_Analytics HealthData_IQ_Hospital_Insights_Patient_Analytics Public

    “Data analysis and visualization of U.S. hospital performance and patient feedback using CMS data, delivering actionable insights via interactive dashboards.”

    Jupyter Notebook 2