Fatih Güleşen

Built and evaluated machine learning models using Python and Scikit-learn, focusing on data preprocessing, feature engineering, model selection, validation, hyperparameter tuning, and performance evaluation. Gained hands-on experience with supervised and unsupervised machine learning techniques, as well as introductory concepts in deep learning, NLP, and generative AI through project-based learning. Worked through the end-to-end data science workflow, from exploratory data analysis and data preparation to m

During the first three months of an intensive Data Analytics and Data Science program, I focused on practical data analysis and business intelligence projects using real-world datasets. I worked on data cleaning, exploratory data analysis (EDA), and structured data preparation, while using SQL and BigQuery for data extraction, transformation, KPI calculation, and analysis. I also developed interactive dashboards and analytical reports using Power BI and Looker Studio to visualize trends, performance metrics

Managing customer accounts, responding to service queries, and cancelling accounts.