Yusif Abbasov

I specialize in AI, data analysis, and data science with a Python-first approach. I focus on time series analysis, data cleaning, exploratory data analysis, and building data engineering workflows for both structured and unstructured datasets.

In automation and AI work, I’ve built workflow automation using n8n and expanded a RAG system leveraging data extracted from PDFs and URLs. I also conduct testing to surface negative cases and improve quality in practical, measurable ways.

My internship experience strengthened my end-to-end modeling and deployment mindset. I optimized dialogue models to increase demo efficiency and market adoption, analyzed customer interactions to develop high-impact demo dialogues, and built pipelines that reduced data leakage while boosting accuracy.

I bring a strong toolkit—ML techniques, SQL-driven analysis, and interactive application development with Streamlit—to deliver scalable analytical frameworks aligned with business objectives. I enjoy translating complex findings into clear recommendations and I’m comfortable working across cross-functional teams while adapting quickly to new tools and challenges.