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Youssra1999/README.md

Hello World 👋

A passionate Data Scientist from Morocco

About Me

I'm Youssra Abouelmawahib, a data science enthusiast driven by a love for solving complex problems and uncovering insights from data. My journey in data science is fueled by my curiosity and desire to make a positive impact through innovative solutions.

  • 🌱 I’m currently learning advanced Data Science techniques and exploring the fields of NLP, Generative AI, and Prompt Engineering.
  • 💬 Ask me about NLP, AI, Generative models, and Prompt Engineering.
  • 📫 How to reach me: [email protected]

Technologies and Tools

python javascript java PyTorch tensorflow scikit-learn PowerBI tableau mysql postgresql mongodb AWS GCP docker firebase miro canva figma git ssis networkx google colab

GitHub Stats

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  1. Deciphering-Long-Term-CO2-Trends-A-Time-Series-Analysis-of-Mauna-Loa-Data Deciphering-Long-Term-CO2-Trends-A-Time-Series-Analysis-of-Mauna-Loa-Data Public

    Using sophisticated time series analysis techniques on Mauna Loa Observatory data, we unveil insightful patterns and trends crucial for understanding climate change dynamics. This project showcases…

    Jupyter Notebook 1 1

  2. Genomics-and-High-Dimensional-Data Genomics-and-High-Dimensional-Data Public

    In this project, we will analyze a single-cell RNA-seq dataset, with the goal of unveiling hierarchical structure and discovering important genes. The datasets provided are all different subsets of…

    Jupyter Notebook 1

  3. Estimating-Ocean-Flows-with-Gaussian-Processes Estimating-Ocean-Flows-with-Gaussian-Processes Public

    The Philippine Archipelago is a fascinating multiscale ocean region. Its geometry is complex, with multiple straits, islands, steep shelf-breaks, and coastal features, leading to partially intercon…

    Jupyter Notebook

  4. Gaussian-Process-Estimation-for-Unobserved-Temperature-Data Gaussian-Process-Estimation-for-Unobserved-Temperature-Data Public

    This project explores the application of Gaussian processes to estimate unobserved temperature data in Boston. We utilize Gaussian processes to model temperature variations, leveraging historical a…

    Jupyter Notebook

  5. Monitoring-Inland-Surface-Water-Area-using-Google-Earth-Engine-Python Monitoring-Inland-Surface-Water-Area-using-Google-Earth-Engine-Python Public

    In this project, we’ll explore the process of developing a powerful tool to monitor inland surface water areas using the Google Earth Engine (GEE) platform and Python. By leveraging geospatial data…