What Does the World Think?
AI & global perspectives
Data Scientist & AI Engineer, and an MSc Data Science student at Óbuda University in Budapest. I build machine learning systems, data pipelines, and agentic AI tools, with experience across banking, analytics, and e-commerce.
My work spans fraud detection, NLP assistants, large-scale analytics, and AI-powered production workflows. I also perform research on different AI & Data Science Topics.
Career
AI Production Engineer · ContractSpice Media Production, Budapest : Agentic AI for e-commerce content, production, and post-production workflows.
Data ScientistKapital Bank, Baku : Fraud detection, cash-replenishment pipelines for 1,000+ ATMs, and an NLP customer-service assistant.
Data ScientistBIRainy, Baku : Python and SQL analytics, Power BI reporting, and OCR document pipelines.
Education
MSc in Data ScienceÓbuda University, Budapest : Machine learning, statistical analysis, data pipelines, and reproducible research. TDK paper on benchmarking open-source LLMs for Azerbaijani, Fall 2025.
BSc in Information TechnologyAzerbaijan State Oil and Industry University : Google DSC, Innovation Club, and Debate Club; workshops, hackathons, and interdisciplinary teams.
Based in Budapest, Hungary.
The challenge
Explore how the same claim may be interpreted across cultures. The project turns a statement into AI-generated perspectives for 192 country contexts, revealing where agreement and disagreement may emerge.
Perplexity Hackathon · Most Fun / Creative Project
2025
Arzuman Abbasov
What we built
Global perspectives are nuanced. The challenge was to structure model responses consistently, connect country names to map geometry, and explain differences without presenting AI estimates as measured public opinion.
My contribution
I connected Perplexity Sonar to a React and TypeScript interface with a Leaflet world map. Color-coded agreement, a global agreement index, summary statistics, and country-level explanations make the generated analysis easy to explore.
Outcome & demo
Winner of the Most Fun / Creative Project category at the Perplexity Hackathon. The project combines conversational AI with geographic data visualization; its award announcement, submission, and source code are linked here.
