After finishing my computer science master's thesis on the analysis of protests in Nigeria using social media data, I want apply my acquired data science skills to social projects as volunteer. My experience in handling large amounts of data, familiarizing myself with new countries and topics based on data, and working with data on internal displacement have prepared me for volunteering.

As a student in both computer science and physics, I've developed proficiency in various programming languages, strong data visualization techniques, and statistical analytical skills. Further, as a research assistant at my university and during various internships, I've acquired knowledge of database management, best-practice programming techniques, and excellent communication skills.

During a 2-month NGO Hackathon at ETH Zurich in 2020, I discovered my passion for applying my expertise in computer science to analyze and tackle social issues. In collaboration with IDMC, we developed a solution for monitoring internally displaced people via Twitter that automatically identifies tweets on natural disasters and organized violence. After this experience, I established a collaboration between the Computer Science Department and the Political Science Department at ETH Zurich for my master's thesis, which required strong inter-departmental communication skills. In this thesis, I combined my expertise in big data analysis and natural language processing with insights into international conflict research for quantitatively analyzing the relationship between protests in Nigeria and online social movements using Twitter Data.

During these data-driven projects, I learned how many possibilities arise through using available data effectively and combining computer science with social, political, and environmental sciences. I am eager to bring my expertise in computer science and interdisciplinary data-driven projects to a social project as volunteering data scientist.