Minqiang Liang
Business Analyst at TikTok
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMinqiang Liang is a data-driven Business Analyst based in Los Angeles with 11 years of cross-disciplinary experience spanning top media agencies and tech companies, now applying an MS in Information Systems to marketing analytics at TikTok. He combines statistical rigor (dual BS in Statistics & Advertising) with practical analytics tooling—R, Python, SAS, SQL, Excel, and Tableau—to surface actionable marketing insights and manage projects end-to-end. His background in global agencies like Ogilvy and hands-on roles in marketing science reflect a creative, campaign-first mindset paired with technical fluency. An active open-source contributor, he has improved core backend components in influential projects such as Kubernetes, etcd, and the Moby container ecosystem, demonstrating strengths in code refactoring, validation logic, and system reliability that aren’t obvious from his marketing resume. Skilled at translating complex data into business decisions, he thrives at the intersection of analytics, engineering, and creative strategy.
11 years of coding experience
2 years of employment as a software developer
Johns Hopkins UniversityUniversity of Illinois Urbana-Champaign
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (36)
apache-pinot10
kubernetes10
docker10
back-end-development10
apidoc10
validations10
key-value10
command-line-interface10
databases10
distributed-systems10
validation10
etcd10
dockers10
java10
manipulation10
Programming languages (15)
Github contributions (5)
apache/pinot
Feb 2021 - Aug 2022
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Back-end DeveloperContributions:258 reviews, 49 commits, 177 PRs in 1 year 5 months
Contributions summary:Minqiang primarily contributed to the Apache Pinot project by implementing and enhancing backend functionalities. Their work included introducing metrics for query and response size in the broker, implementing a QueryOp class for testing, and adding a generation number to data and queries. Furthermore, the user refactored and optimized code, removing duplicate sections and addressing multiple comments in the codebase. This suggests a focus on improving the system's performance and testability.
realtimedata-streamolapapachedatastore
kubernetes/api
Oct 2015 - May 2016
The canonical location of the Kubernetes API definition.
Role in this project:Back-end Developer
Back-end DeveloperContributions:21 commits in 7 months
Contributions summary:Minqiang primarily contributed to the Kubernetes API definition, focusing on validation logic. They implemented and refined validation rules for various Kubernetes resources, including HorizontalPodAutoscaler, Secrets, and Services. The user's work involved using string constants to avoid code duplication, refactoring validation code for clarity, and addressing identified bugs.
apikubernetes-apilocationkubernetesdefinition
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