- Languages: Python, SQL, JavaScript, RegEx
- ML/NLP: TensorFlow, Keras, Scikit-learn, PyTorch
- Data Analysis: Pandas, Numpy, SciPy
- Visualization: Tableau, Matplotlib, Seaborn, Power BI
- Development: Git, PostgreSQL, VS Code
- Machine learning model achieving 99% accuracy in loan risk classification
- Implemented logistic regression using scikit-learn
- Analyzed key financial indicators including debt-to-income ratios
- Link to Repository
- View Code
- Deep learning model for medical image analysis
- Used TensorFlow and Keras with Adam optimization
- Created interactive visualization using Streamlit
- Link to Repository
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- Analyzed correlation between climate variables and wine production
- Utilized Python data science stack (Pandas, SciPy, Matplotlib)
- Created comprehensive visualization dashboard
- Link to Repository
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- Data Science and Visualization Certificate | Northwestern University
- MA in Central Eurasian Studies | Indiana University
- BA in Linguistics | Hacettepe University
- LinkedIn: Can Ayter