I am Sahib Aliyev, a data analyst with an M.Sc. in Artificial Intelligence (Azerbaijan State Oil and Industry University, SABAH Groups) who turns messy datasets into clear, decision-ready insights using Python, SQL, and Power BI. I’ve created end-to-end projects, including clustering 150+ countries on World Bank indicators and a reproducible analysis of Chicago public schools, crime, and socioeconomic data in SQLite/Jupyter—work I document cleanly on GitHub. I also hold recent IBM-Coursera certificates in Python for Data Science and Databases & SQL with Python, strengthening my production-grade data wrangling and querying skills.
What sets me apart: a strong statistics foundation, clear storytelling in notebooks and dashboards, and a habit of writing maintainable, reproducible code that teams can trust and extend. I’m fluent in English and comfortable collaborating across cultures to deliver measurable impact.
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