Liu Cheng is a Senior Data Scientist based in Shanghai with six years of cross-industry experience spanning consumer goods and internet companies, currently driving analytics at Boehringer Ingelheim while also contributing at Tencent. He specializes in predictive modeling, machine learning, and scalable data processing using Python and SQL, with strong grounding in statistics and algebraic methods. His background includes applied data science roles at Procter & Gamble and OPPO, giving him practical expertise in both product- and operations-focused analytics. Beyond modeling, he contributes to big-data storage engineering—implementing features and fixes in the Apache Ozone project—demonstrating comfort with backend Java work and distributed storage concepts. Highly organized and diligent, he blends hands-on coding with production awareness to deliver measurable business impact. Colleagues rely on him to translate complex analytical techniques into reliable, production-ready solutions.
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
Role in this project:
Back-end Developer
Contributions:43 reviews, 24 commits, 80 PRs in 1 year 3 months
Contributions summary:Liu contributed to the Apache Ozone project by implementing features and fixing bugs related to the SCM and pipeline management components. The user added functionality to the `scmcli` tool for filtering pipeline listings, resolved test cleanup issues, and made auto-creation of RATIS ONE pipelines configurable. Furthermore, the user addressed a typo and implemented byte-written metrics aggregation, enhancing monitoring and management capabilities. The user's work involved modifying Java code in server and integration test modules.
Contributions:25 PRs, 326 pushes, 52 branches in 1 year 1 month
apachebig-datasparkozonehadoop
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