Amirlan Sarsenov

I’m a data analyst with a strong interest in turning messy data into clear, useful insights that help people make better decisions. I’m especially drawn to machine learning and computer vision, because I like building systems that can actually see patterns and do something practical with them.

In a GenAI engineer intern role at SHAI.PRO, I configured and deployed AI agents tailored to corporate use cases. I also structured and maintained training data to continuously update models, designed user interaction flows (dialogue scenarios and Q&A logic), and tested and debugged agents in real-world scenarios to identify gaps in logic and knowledge.

As a part-time Data Analyst at Yessen & Company, I worked in a business analytics consulting team delivering data-driven insights for corporate clients. I collected, cleaned, and analyzed structured datasets using Python and SQL, built analytical reports and dashboards, and applied statistical analysis and exploratory data analysis (EDA) to surface trends, anomalies, and performance drivers.

Outside of analytics, I work as a sound engineer, which keeps me focused on both creative outcomes and technical details. I’m currently studying Big data analysis at Astana IT University and value documentation, best practices, and continuous improvement in every system I build.