I hold a Bachelor’s degree in Psychology with a strong focus on research methods, data analysis, and structured problem-solving. My work combines quantitative and qualitative analytical approaches with an interest in understanding complex systems, user behavior, and data-driven processes in both academic and applied contexts.
During my studies, I developed experience in designing research studies, collecting and analyzing data, and interpreting results across different domains, including surveys, interviews, and statistical analysis. I have worked with both structured and unstructured data, and I am familiar with the full workflow from data collection to analysis and reporting.
I have technical experience with tools such as Python, R, Stata, SPSS, and Excel, which I have used for data cleaning, exploratory analysis, and structured reporting.
Alongside my research background, I have developed growing experience and interest in ecommerce systems, product data structures, and digital operations. My current focus is on applying analytical and systems-oriented thinking to ecommerce environments, particularly in areas such as catalog structure, data quality, and workflow optimization.
Quantitative and qualitative research projects focused on behavioral analysis, demographic studies, and structured investigation of decision-making processes.
Applied projects focused on e-commerce systems, product data management, catalog structure, user navigation, and workflow optimization.