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razamehar/README.md
  • 👋 Hi, I’m Raza Mehar.
  • 👀 I’m interested in machine learning and data science.
  • 🌱 I’m currently enrolled in the second Master's program in Data Science at the University of Naples Federico II in Italy.
  • 💞️ I’m looking to collaborate on machine learning and data science related projects.
  • 📫 How to reach me: email: [email protected]
  • ⚡ Fun fact: I love to travel, and read nonfiction books.

Pinned

  1. Weather-Time-Series-Analysis-using-Statistical-Methods-and-Deep-Learning-Models Weather-Time-Series-Analysis-using-Statistical-Methods-and-Deep-Learning-Models Public

    This project conducts a thorough analysis of weather time series data using diverse statistical and deep learning models. Each model was rigorously applied to the same weather time series data to a…

    Jupyter Notebook

  2. Semantic-Image-Segmentation-U-Net-vs-SegNet Semantic-Image-Segmentation-U-Net-vs-SegNet Public

    This project implements semantic image segmentation using two popular convolutional neural network architectures: U-Net and SegNet. Semantic image segmentation involves partitioning an image into m…

    Jupyter Notebook

  3. CGI2Real-Multi-Class-Image-Classifier CGI2Real-Multi-Class-Image-Classifier Public

    The CGI2Real_Multi-Class_Image_Classifier categorizes humans, horses, or both using transfer learning from Inception CNN. Trained on synthetic images, it can also classify real ones.

    Jupyter Notebook

  4. Naples-Diaper-Market-Geo-Analytics-for-Potential-Estimation Naples-Diaper-Market-Geo-Analytics-for-Potential-Estimation Public

    Analyzing Fater company's diaper market potential and enhancing revenue estimation for Naples stores: A Socio-Demographic, Territorial, and Points of Interest Perspective

    1

  5. Financial-Stock-Analysis-and-Clustering Financial-Stock-Analysis-and-Clustering Public

    Analyzed 157 US Energy stocks (Jan-Dec '23), identified Bullish/Bearish trends and risk categories. Used KMeans, Hierarchical, Spectral Clustering, revealing balanced returns and low volatility. In…

    Jupyter Notebook 1 1

  6. Employee-Turnover-Insights-using-Survival-Analysis Employee-Turnover-Insights-using-Survival-Analysis Public

    Analyzed employee turnover (Jan 2022 - Mar 2023) at my former organization, considering trends, departmental attrition, and tenure insights. Used predictive analytics from the 2022 Employee Engagem…

    Python