
Software Developer and Data Analyst with hands-on experience in both software engineering and renewable energy data projects. Skilled in developing APIs, analyzing large datasets, and applying statistical and machine learning methods for forecasting. Passionate about combining technology and sustainability to deliver innovative, efficient, and eco-friendly solutions.
• Provided IT support for organizational events and technical operations.
• Developed strong skills in problem-solving, discipline, and responsibility through project-based assignments.
• Contributed to the development of an API for energy market operations using Java and Spring Boot.
• Supported creation of services for data processing and error handling.
• Conducted API testing with Postman, ensuring system reliability and functionality.
• Acquired practical experience in enterprise-level software development and energy market technologies.
• Conducted statistical analysis and time series modeling on renewable energy production data.
• Processed and visualized large datasets using Python libraries (Pandas, NumPy, Matplotlib, Seaborn).
• Researched and applied machine learning methods to improve accuracy of solar and wind energy production forecasts.
• Strengthened understanding of the renewable energy sector while advancing data analytics expertise.
Programming: C/C, Java, Phyton
Tools& Frameworks: Spring Boot, Postman
Data Analysis:Pandas, NumPy, Matplotlib, Seaborn
Concepts:Statistical Analysis, Time Series Forecasting, Machine Learning (basic applications)
Languages: Turkish(native), English(professional proficiency)