Summary
Uladzislau Krauchuk is a data engineer and analyst with eight years of experience specializing in LTV modeling, cohort analysis, and BI for mobile and in-app economies. Currently building data pipelines and backend reporting services for a SaaS mobile data platform, he combines Python, Postgres and Airflow expertise with Golang, ClickHouse and Redis for production reporting. His academic background in mathematical statistics underpins a strong affinity for probabilistic and contractual/non-contractual models applied to marketing automation and revenue forecasting. He has a track record of turning complex in-game economy research and financial prediction needs into practical BI specifications and visualizations. Colleagues describe him as a practitioner who bridges rigorous statistical thinking with pragmatic engineering to deliver measurable marketing insights.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Applied Science - BASc, Mathematical Statistics and Probability, Bachelor of Applied Science - BASc, Mathematical Statistics and Probability at Belarusian State University