Researcher and Data Analyst in Social Sciences

I am Natalia Iartseva, a historian by first education with a PhD in practical political science. Since 2002, I have been deeply involved in studying qualitative and quantitative methods of data analysis. Over the years, I have developed strong skills in data analysis platforms such as SPSS, SQL, and Python, and I am currently completing additional training on Udemy and Yandex Practicum to further enhance my expertise.

My academic background includes a degree from Samara State University where I studied history and conducted qualitative content and discourse analysis on historical databases. I defended my PhD thesis at St. Petersburg State University, focusing on nationalist discourse and media analysis using both qualitative and quantitative methods.

Professionally, I have worked as an assistant, senior lecturer, and associate professor at Samara State University from 2003 to 2023. During this time, I participated in numerous Russian and international research projects, applying statistical and data visualization methods to social and political studies. I collaborated with institutions such as the Norwegian Foreign Policy Institute and the Institute of Sociology of the Russian Academy of Sciences.

Since 2021, I have been working as a freelance data analyst on projects aimed at social change, utilizing platforms like Deepnote for research on topics such as the Yellow Vest movement in France and the online presence of religion during the Covid-19 pandemic. My current research focuses on the "image of Russia" in global media using GDELT data and SQL programming.

Throughout my career, I have published several articles in the journal "Public Opinion Monitoring" and presented at international conferences, demonstrating my ability to combine humanities scholarship with big data analysis. I am passionate about leveraging data science to understand social phenomena and contribute to meaningful research.