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About Candidate
Detail-oriented Research Assistant with a strong background in behavioral and computational economics, data analysis, and academic research. Experienced in conducting literature reviews, collecting and cleaning data, and performing statistical analyses using Excel, R, Python, and Stata. I have worked on international research projects, conducting experiments and data analyses while collaborating remotely with faculty and international research teams to ensure data accuracy and timely deliverables. Highly organized, self-motivated, and comfortable working independently in remote research environments.
Nationality
Location
Education
Master’s degree in Behavioral & Computational Economics with a strong focus on applied data analysis, experimental research, and quantitative methods. Completed a thesis involving empirical analysis using Python, R, and Stata on U.S.–China data. Graduated with a GPA of 3.98 and awarded a full scholarship and fellowship.
Completed a Master’s degree in Economics with a focus on time-series analysis examining relationships between commodity and equity markets. Supported faculty research by assisting with empirical analyses, literature reviews, and preliminary data exploration. Following this degree, began a PhD program at Akdeniz University, which was discontinued after receiving an admission offer from a U.S. graduate program.
Bachelor’s degree in Mathematics, providing a strong foundation in analytical thinking, quantitative methods, and problem-solving skills applicable to data analysis and research.
Work & Experience
Conducted experiments and performed data analyses as part of an international research project. Collected, cleaned, and validated research data; performed statistical analyses using R, Python, Stata, and Excel. Conducted literature reviews and prepared research documentation. Collaborated remotely with faculty and international research teams to ensure data accuracy and timely deliverables.
Contributed to academic research projects by reviewing and synthesizing scholarly literature, assembling and managing research datasets, and conducting quantitative analyses of economic and financial data. Applied time-series and econometric techniques to support empirical studies and assisted in preparing research outputs for academic publications and conference presentations.
