Chen Chen
Senior Data Scientist
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolChen Chen is a Senior Data Scientist in Seattle with 11 years of cross-industry experience applying statistical rigor and machine learning to large-scale operational and advertising problems. He has driven causal inference and experiment design at Amazon Ads, optimized transportation and forecasting for Amazon Air, and now contributes to Reality Labs at Meta, blending domain expertise with production-grade analytics. Skilled in SQL, R, SAS (SAS Certified), and backend database engineering, he has contributed to the open-source OpenMLDB project on SQL query execution and table metadata—highlighting a hands-on interest in ML feature platforms and backend systems. His academic background in financial risk management and CFA Level III candidacy complement a quantitative approach that has delivered measurable business impact, from reducing reporting errors and operational costs to improving conversion rates via A/B testing. Colleagues value him as a collaborative communicator who can translate complex models into actionable insights and scalable solutions.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS Finance, Bachelor of Science - BS Finance at Central University of Finance and EconomicsMaster of Science (MS) Financial Risk Management, Master of Science (MS) Financial Risk Management at University of Connecticut
Chinese, English
Github Skills (12)
databases10
c-language10
sdk10
cprogramming-language10
sql10
relational-databases10
sql-database10
database10
tabs-management9
tab-management9
code-generation9
compiler-design8
Programming languages (6)
Github contributions (5)
4paradigm/OpenMLDB
Mar 2021 - Mar 2022
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:128 reviews, 268 commits, 53 PRs in 1 year
Contributions summary:Chen's commits primarily focus on modifying and enhancing the database features of the OpenMLDB project, specifically related to SQL query execution and table management. They made changes to the core components of the client and SDK, as well as modifications to the table metadata handling and the compiler, revealing a focus on the backend logic. The modifications related to the SQL compiler and the test framework suggest a focus on feature enhancements and integration.
machine-learning-databasetrainingfeature-storein-memory-databasefeature-extraction
jingchen2222/OpenMLDB
Jun 2021 - Jan 2022
OpenMLDB is an open-source database that is designed and optimized to enable data integrity & efficiency for machine learning driven applications. In addition to 10x faster ML application landing experience, OpenMLDB provides unified computing & storage engines to reduce the complexity and cost of development and operation.
Contributions:6 PRs, 211 pushes, 50 branches in 7 months
operation10xcomplexitydata-sciencesql
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