EliHuseyn Ismayilov

I’m a Data Scientist and Lead Data Scientist focused on machine learning solutions that translate into measurable business impact. My work centers on building predictive models for credit default risk, cross-sell, fraud detection, and NLP-based news analysis.

At Yelo Bank, I’m developing Probability of Default (PD) models for retail customers and strengthening credit risk assessment. I also build datamarts in the data warehouse and design machine learning pipelines for real-time scoring and monitoring.

Previously at PASHA Bank, I built and deployed machine learning models across cross-sell, sales propensity, fraud detection, and news/NLP analytics. I manage end-to-end ML pipelines—from data collection and cleaning to modeling, deployment, and monitoring—and quantify model-driven income lift and performance gains.

I bring a strong analytics and engineering mindset, including clear stakeholder communication through Tableau dashboards. Before progressing into banking analytics, I also worked as a Data Analyst and served as a Python Instructor, which sharpened my ability to explain technical work clearly and deliver practical outcomes.