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Aundrila/README.md

Hi, this is Aundrila 👋

  • 🔭 I am pursuing my Master's in Data Science at TU Dortmund.
  • 🌱 I’m currently working in a Working Student Position as a Data Scientist at Task9 GmbH, Dortmund, Germany
  • 👯 I’m looking to collaborate on Data Science, Computer Vision, Time Series Analysis
  • 💬 Ask me about Data Science, Data Analysis, Machine Learning, Computer Vision, Deep Learning, Statistics
  • 📫 How to reach me: [email protected]

🌐 Catch me on:

  • LinkedIn
  • Google Scholar

🛠️ Languages and Tools:

Python Pandas NumPy Matplotlib Seaborn Plotly scikit-learn TensorFlow Keras PyTorch OpenCV Statsmodels

SQL R Julia

Power BI GitHub Jupyter Notebook VS Code PyCharm Google Colab Anaconda

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  1. World-Happiness-Analysis World-Happiness-Analysis Public

    A Python-based analysis of the UN World Happiness Report (2008–2018) for 165 countries. Includes correlation analysis, income inequality (Gini Index), and country comparisons (e.g., Germany, China)…

    Jupyter Notebook 1

  2. ANOVA-Ant-Attraction ANOVA-Ant-Attraction Public

    Analysis of factors influencing ant attraction to different sandwich types using statistical methods and Python.

    Jupyter Notebook

  3. Detecting-the-levels-of-Diabetic-Retinopathy Detecting-the-levels-of-Diabetic-Retinopathy Public

    Python Project (Image Data)

    Jupyter Notebook

  4. Music-Genre-Classification Music-Genre-Classification Public

    Python Project (Image Data)

    Jupyter Notebook

  5. PowerBI-Data-Professional-Survey PowerBI-Data-Professional-Survey Public

  6. PowerBI-Customer-Churn-Analysis PowerBI-Customer-Churn-Analysis Public

    A Power BI project analyzing customer churn trends and key factors influencing retention. Includes interactive dashboards and insights.