chengfu User

I am a Senior Data Scientist with deep experience building production ML systems and real-time risk platforms for Web3 and financial applications. I combine econometrics, machine learning, and software engineering to deliver robust, data-driven products.

At Kraken I designed on-chain risk models, anomaly detection systems, and asset health scoring using Random Forest, XGBoost, GARCH, and VAR models. I built ETL and pipeline solutions with Airflow, AWS Lambda, and scalable ingestion from blockchain nodes and APIs.

Earlier, at Amazon I developed computer vision and sequence models deployed on AWS SageMaker, and processed large-scale datasets with PySpark and EMR. I have taught databases and econometrics, supporting students in SQL, NoSQL, Python, and R.

I prioritize measurable impact, production reliability, and cross-functional collaboration to reduce false positives, improve onboarding decisions, and automate risk alerts—bringing statistical rigor and engineering discipline to high-stakes data problems.