At Scientific Information Center (SID.ir), I analyze large collections of scientific publications and research data, turning complex datasets into analytical reports and research content.
I use Python, Pandas, Excel, and Tableau to clean, structure, classify, and assess data. My work also applies text mining and information retrieval to identify topics, patterns, relationships, and trends in research documents.
I evaluate scientific documents using Web of Science and Scopus data, and develop analytical frameworks for research productivity, scientific impact, collaboration patterns, and emerging topics. I also review AI-generated outputs against source information for accuracy, relevance, completeness, and consistency.
I teach AI and research-data tools to academic users through workshops on topics including scientometrics, bibliometric analysis, and research platforms. My research interests include bibliometrics, scientometrics, scientific literature analysis, and AI-assisted data evaluation.
