Nurlan Zeynalov

I’m a Petroleum Engineer with a digital, data-driven focus—covering gas grid management, pressure monitoring, and demand forecasting alongside asset integrity work. At Azeriqaz/SOCAR, I performed field inspections and asset health monitoring for regional gas distribution networks, applying statistical analysis and machine learning to forecast customer demand.

Beyond operations, I build end-to-end ML and analytics solutions: an XGBoost pipeline for Predictive Maintenance & RUL Estimation (Remaining Useful Life), and a hybrid traffic forecasting approach combining XGBoost, Prophet, and SARIMAX for strong seasonal performance. I also use customer intelligence techniques (RFM + Apriori) to uncover segmentation and cross-sell patterns, turning data into actionable insights through clear storytelling and dashboards.