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KimiaaK/README.md

Kimia Ketabforoosh

Hits Linkedin Email Github

  • 💻 Machine Learning Engineer/ Data Scientist with experience developing and deploying ML models using Python and PyTorch in various industries (Agriculture, Color Synthesis, 3D Printing, and Carbon Black Production).
  • Proficient in handling imbalanced data, generating synthetic images, optimizing model performance, and automating processes.
  • Experienced in delivering predictive models and solutions by extracting insights from complex data through thorough analysis and synthesis, including data compression and reconstruction.
KimiaaK KimiaaK

🖥 Skills

  • Machine Learning (Unsupervised Learning, Natural Language Processing, Reinforcement Learning, Deep Learning, Transfer Learning)
  • Data Science (Data Cleaning, Databases, Data Analysis)
  • Computer Vision (Image Segmentation, Object Detection, Generative Adversarial Networks)

⚙️ Tech Stack

Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap Bootstrap

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  1. vision-transformer-HuggingFace vision-transformer-HuggingFace Public

    This project utilizes ViT via HuggingFace to classify 9 strawberry diseases.

    Python

  2. SpecOptiBlend SpecOptiBlend Public

    This open-source software aids in identifying the ideal ratio of each spectral data component for the reconstruction of a sample when only its spectral information is available. Here, it was used t…

    Jupyter Notebook

  3. choke-coverage choke-coverage Public

    A software to measure energy waste in a reactor by analyzing the percentage of white pixels within a specific circular region of an image.

    PowerShell

  4. MobileNetV2-Project MobileNetV2-Project Public

    Python

  5. F1-Data-Analysis F1-Data-Analysis Public

    Python