I'm a Econometrics student at Pamukkale University, based in Denizli.
Aspiring Machine Learning / Data Science practitioner — interested in building, evaluating, and comparing ML models on real-world data.

• Building end-to-end ML projects: from data cleaning to model evaluation
• Comparing classical ML algorithms (logistic regression, random forests, gradient boosting) on real datasets
• Writing clear, reproducible notebooks that explain why a model works — not just that it works

• Languages: Python, SQL (basics)
• Data: pandas, NumPy
• Visualization: matplotlib, seaborn
• Machine Learning: scikit-learn
• Other: Jupyter, Git & GitHub

• Advanced scikit-learn (pipelines, cross-validation, hyperparameter tuning)
• Gradient boosting libraries (XGBoost, LightGBM)
• SQL for data analysis
• Communicating model results to non-technical audiences

• LinkedIn: sukrucanzeybekoglu
• Email: sukruzeybekogluis@gmail.com