🎓 Statistics & Computer Science Student at Sivas Cumhuriyet University

I enjoy turning data into insights through statistics, programming, and machine learning. My academic background combines statistical theory with software development, allowing me to approach problems from both analytical and technical perspectives.

• SQL and Database Design
• Data Analysis with Python (Pandas, NumPy)
• Machine Learning with Scikit-Learn
• Computer Vision and AI Applications
• Data Visualization with Power BI

• Programming: Python, R, C#
• Databases: SQL, PostgreSQL
• Data Analysis: Pandas, NumPy, Statistics
• Machine Learning: Scikit-Learn
• Full-Stack Development: JS, React,
• A/B Testing
• Visualization: Power BI, Excel
• Tools: Git, GitHub, Jupyter Notebook

• Data Science
• Machine Learning
• Quantitative Finance & Trading
• Artificial Intelligence

Building practical projects that combine statistics, programming, and machine learning while preparing for a career in Data Science and AI.

"Data tells a story. Statistics helps us understand it."