- Develop cutting-edge Machine Learning and Deep earning models.
- Implement Computer Vision and Image Processing Projects.
- Build Generative AI Models: GANs, AE, PALM
- Build powerful web apps with Django & Streamlit to bring data-driven solutions to life.
- Deploy solutions on Microsoft Azure for scalability and performance.
- Automate workflows with GitHub Actions
- Track Machine Learning Experiments using MLFLOW
- Build Production Ready ML Pipelines on Azure Machine Learnng Services
- Programming Languages: Python, R, C
- Machine Learning: Keras-TensorFlow,scikit-learn PyTorch
- ML Cloud Platforms: Azure ML Services - Azure Computer Vision.
- Backend Development: Django, HTML, CSS, JavaScript
- Data Manipulation: pandas, NumPy, Scipy
- Data Visualization: Matplotlib, Seaborn, Plotly
- Version Control: Git, GitHub
- Deployment: Microsoft Azure Web App Services, Streamlit, mlflow
- Tools: Docker, git, vscode, Jupyter,
| Project | Details |
|---|---|
| Computer Vision Based Defect Assessment | https://github.com/Hypatchia/DefectAssessment-ComputerVision-KerasTensorflow |
| Visual Quality Inspection using Deep Learning | https://github.com/Hypatchia/QualityInspection-ComputerVision-KerasTensorflow |
| Industrial Machine Failures Analysis and Prediction | https://github.com/Hypatchia/PredictiveMaintenance-MachineLearning-AzureML |
| Project | Details |
|---|---|
| Premium Purchase Analysis and Prediction | https://github.com/Hypatchia/PremiumEnrollement-MachineLearning-ScikitLearn-Streamlit |
| Customer Satisfaction Analysis and Prediction | https://github.com/Hypatchia/ClientSatisfaction-MachineLearning-Scikitlearn-Streamlit |
| Project | Details |
|---|---|
| AutoEncoder Based Image Denoising for Quality Enhancement | https://github.com/Hypatchia/ImageDenoising-GenAI-AutoEncoders |
| Imbalanced Dataset Augmentation using GANs | https://github.com/Hypatchia/DatasetAugmentation-GenerativeNetworks-KerasTensorflow |
| AutoEncoders for Image Compression and Reconstruction | https://github.com/Hypatchia/AutoEncodersPlayground |
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