★ Scopus and AVESIS Matching System: Developed a system that automatically verifies the Scopus IDs of Ankara University faculty members and checks if Scopus redirections are available on AVESIS links.★ Publication Growth Monitoring Automation: Created an automation that tracks the increase in publication numbers of faculty members via Scopus and sends an email with details of the new publication and a congratulatory message when an increase is detected.★ YKS 2024 Performance Analysis Application: Developed a Streamlit application that compares the YKS 2024 placement results of state, research, and all universities, on a MYO/faculty basis, with the performance of the previous year.★ Ranking and Score Prediction: Conducted an analysis of Ankara University's ranking among research universities and predicted the scores of potential universities.★ Performance Metrics Reporting Application: Developed a data collection application that calculates performance metrics for faculties and MYOs, and automatically sends the results in Excel format via email.

★ I analyzed keyword data from Google Ads and Google Trends using Python and libraries like Pandas, NumPy, and Matplotlib to provide actionable insights for campaign optimization.★ I conducted data extraction and cleaning processes to ensure the quality of the data.★ I applied various machine learning models such as LightGBM, XGBoost, RandomForest, and the Prophet time series model from Facebook for in-depth time series analysis to predict future trends.★ I developed interactive dashboards with Streamlit to streamline decision-making within the team and facilitate data exploration.