Summary
Pengcheng Liu is an Analytics Engineer based in Berlin with 10 years of experience building data products, ML models and end-to-end data platforms for lending and subscription businesses. He has driven data modelling and infrastructure work at SumUp and solarisBank—building Kafka+Snowflake+dbt pipelines, deploying tested dbt datasets, and owning reporting for regulatory and financial risk. His background spans hands-on ML for churn and CLTV at Babbel, backend services in Go, and mobile/IoT data collection—bridging engineering, analytics and product to turn signals into commercial impact. Pragmatic about production readiness, he combines feature engineering and ensemble modeling expertise (XGBoost and hybrids) with a taste for cost-reduction and opportunity spotting in credit products. Notably, he has repeatedly taken full ownership of lending analytics stacks—from scoring to P&L—and enjoys cooking up models as much as he enjoys food.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Economics and Management Science (Information Systems as focus), Master's degree, Economics and Management Science (Information Systems as focus) at Humboldt University of Berlin
Chinese, English, German