Nabi Nabiyev

I am a data scientist and marketing data analyst with an MSc in Data Science (Distinction) who builds end-to-end analytics systems to drive product and marketing decisions. I focus on turning complex product and marketing signals into reliable metrics and clear insights.

At Exitek I designed and implemented end-to-end ETL pipelines in Python to ingest, normalize and monitor marketing & product data from multiple APIs, and I built the analytics data architecture from scratch to support standardized marketing and product metrics. I designed SQL scripts to generate detailed, cohort-based ad performance reports and developed interactive PowerBI dashboards to visualize performance.

At Birmarket I built and maintained ELT pipelines for large transaction datasets, deployed Power BI dashboards to monitor GMV, AOV, retention, and conversion funnels, and conducted A/B tests and backtesting using RCT, DiD and PSM to validate product changes and promotions. I also performed merchant transaction monitoring and proposed rule-based alerts to detect suspicious behaviour and improve platform integrity.

I hold certifications including AI Engineering Professional Certificate and AI Enterprise Workflow Specialization, and I bring practical skills across Python, SQL, Azure, Dataiku and PowerBI. I partner closely with product and engineering teams to define KPIs, run experiments, automate metric reporting, and surface data-quality issues so teams can act with confidence.