Erkebulan Sailybaev

I’m a Data Analyst building reliable pipelines and database architectures, turning raw data into clear, decision-ready insights. At Bereke Bank, I design, build, and maintain data pipelines and reporting workflows that support client segment analysis.

I develop and troubleshoot Python ETL scripts and SQL schemas using PostgreSQL, Oracle, and Greenplum. I also finalized CLTV (Customer Lifetime Value) analytical data showcases and implemented automated reporting pipelines.

I apply advanced statistical thinking—using outlier detection and percentile analysis—and perform financial modeling and data processing to strengthen the quality of conclusions. I enjoy the full analytical loop: from data preparation to insights that teams can act on.

Before this role, I worked as a Data Scientist Trainee, strengthening my fundamentals in machine learning and data analysis with Python libraries like pandas, NumPy, and matplotlib. My projects—like Real Estate Price Analysis and Titanic Survival Prediction—helped me practice predictive modeling, visualization, and model-driven reasoning.