I hold a degree in Econometrics from Trakya University, complemented by an associate degree in Computer Programming and a Business Administration background. During my studies, I gained international experience through the Erasmus program at Kassel University in Germany. I have 3.5 years of experience in data engineering, contributing to ETL and data warehouse projects at leading companies such as Akbank, İş Bankası, Turkcell, and A101. In these roles, I worked extensively with tools like Informatica, Oracle ODI, IBM DataStage, and Azure Synapse, while strengthening my SQL and Python skills. Since late 2024, I shifted my focus to Data Science and joined the AI Bootcamp at Kairu. I’m currently deepening my knowledge in Machine Learning, Deep Learning, NLP, and Computer Vision, while building real-world projects to enhance my portfolio. With a strong analytical foundation, hands-on industry experience, and a growth-oriented mindset, I am committed to building impactful data-driven solutions.
I’m skilled in SQL, Python (pandas, NumPy, matplotlib, seaborn, scikit-learn), Oracle Data Integrator (ODI), Git, and have basic proficiency in Apache Airflow. I enjoy building data pipelines, automating tasks, and delivering insights through analysis and visualization.
You can find the studies below and download them if you'd like.
Churn prediction using machine learning techniques and feature engineering.
Using anomaly detection and SMOTE to detect attacks.
Intrusion detection using UNSW-NB15 dataset and ML algorithms.
Regression model to predict housing prices with feature selection.
Download all projects chronologically and explore their code on GitHub.
| Project Title | Download | GitHub | Upload Date |
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