https://github.com/arash-keshavarz/portfolio
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (9.6%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: Arash-Keshavarz
- Language: HTML
- Default Branch: main
- Size: 10.5 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
👋 Hi, I'm Arash Keshavarz
🎯 Aspiring Machine Learning Engineer passionate about building intelligent systems that solve real-world problems using data. I have hands-on experience in computer vision, signal processing, time-series analysis, and scientific ML research.
📍 Based in Rostock, Germany | 📧 arash.keshavarz.dev@gmail.com
🌐 LinkedIn • GitHub • Udacity Certificate
💼 About Me
- 🎓 M.Sc. in Electrical Engineering and Computer Science @ University of Rostock
- 🧠 2+ years of Python experience in ML, Deep Learning, and EIT-based medical data analysis
- 🔬 Currently researching bruise evolution via hyperspectral imaging at Fraunhofer IGD
- 🛠️ Experienced with Python, PyTorch, TensorFlow, OpenCV, Docker, and AWS
🔬 Featured Projects
🔹 Thigh Muscle Force Estimation using EIT
Master's thesis project combining electrical impedance tomography with ML models to estimate muscle force.
- 🧪 Acquired and processed synchronized EIT and torque data from 15 participants (~80,000 samples)
- 📊 Achieved 91% classification accuracy using Random Forest and SVM models
- 🔧 Tools: Python, Scikit-learn, PCA, Custom GUI (Tkinter)
🔹 Y-Net for EIT Image Reconstruction
Developed a convolutional Y-Net model to enhance image quality in EIT-based bone imaging.
- 📈 Outperformed classical methods with 89% SSIM
- 🔬 Focused on detecting conductivity shifts around hip implants
- 🔧 Tools: MATLAB, Python, PyTorch, EIDORS
🔹 Bruise Age Estimation with Hyperspectral Imaging
Fraunhofer IGD research project on medical image analysis.
- 🌈 Analyzed 204-band hyperspectral images to track bruise evolution
- 🧠 Applied PCA/t-SNE and spectral classifiers (SAM, SVM)
- 📉 Reduced feature space by 90% while achieving 90% prediction accuracy
🛠️ Skills Snapshot
| Category | Tools & Technologies | |------------------|----------------------| | Languages | Python, Java, MATLAB, c++ | | Frameworks | PyTorch, TensorFlow, Scikit-learn | | CV/ML Tools | OpenCV, Torchvision, Albumentations | | Deployment | Docker, Gradio, Streamlit | | Data Tools | MongoDB, NumPy, Pandas | | Cloud | AWS, Google Colab | | Others | Git, GitLab, Linux, Jupyter |
📫 Get in Touch
- 📧 Email: arash.keshavarz.dev@gmail.com
- 💼 LinkedIn: linkedin.com/in/arash-keshavarz-dev
- 💻 GitHub: github.com/Arash-Keshavarz
This portfolio is built using GitHub Pages — check out the source code or connect to collaborate on cool projects!
Owner
- Name: Arash
- Login: Arash-Keshavarz
- Kind: user
- Repositories: 1
- Profile: https://github.com/Arash-Keshavarz
GitHub Events
Total
- Watch event: 1
- Push event: 7
- Create event: 1
Last Year
- Watch event: 1
- Push event: 7
- Create event: 1