I am a Data Analyst and Data Scientist with a strong foundation in building high-performance data pipelines, predictive models, and executive dashboards. I am a Microsoft Certified Power BI Data Analyst Associate (PL-300) and am currently pursuing my Master's degree on a full scholarship, focusing on AI-Based Model Predictive Control.
My technical stack heavily utilizes Python, advanced SQL (DuckDB, T-SQL), and modern cloud architectures including AWS, Snowflake, and dbt. In my professional experience and independent projects, I have architected end-to-end e-commerce cloud pipelines, developed comprehensive Tableau and Power BI dashboards for macro-performance tracking, and built robust Machine Learning models for telecom churn and credit default risk prediction (utilizing XGBoost, LightGBM, and SHAP analysis).
Beyond data modeling and visualization, I am deeply passionate about open-source development and technical writing. I authored and published pysqdb to PyPI, an open-source Python wrapper for DuckDB SQL designed to streamline zero-copy data transformations. I also enjoy creating clear technical documentation and building digital gardens using tools like Astro, Tailwind CSS, and Markdown. I am actively looking for roles where I can leverage my blend of analytical precision and data engineering skills to drive business decisions.
Azerbaijan