Serena Jiang
California, United States
Summary
🤩
Rockstar🎓
Top SchoolSerena Jiang is a finance-focused professional with a decade of experience combining public accounting, corporate bookkeeping, and operational finance, backed by a BA in Economics/Accounting from UC Berkeley. She spent four years in industry accounting and a year in public practice, progressing to senior associate roles where she prepared financial statements, supported audits, and managed comprehensive bookkeeping and reconciliations for growing international businesses. Based in California, Serena has also contributed technical back-end fixes to prominent open-source projects like Apache Superset and Airbnb’s knowledge-repo, improving reliability in query handling, notifications, and data processing—an uncommon bridge between accounting rigor and code-level problem solving. Known for methodical attention to detail, she brings practical GAAP experience together with hands-on troubleshooting skills and a track record of improving processes in both finance and engineering contexts.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Arts (B.A.), Economics / Accounting, Bachelor of Arts (B.A.), Economics / Accounting at University of California, Berkeley
English, Chinese, Chinese
Github Skills (20)
python10
flask-ask10
knowledge-management10
apache-superset10
knowledge-graph10
sql10
yaml10
flask10
data-science9
error-handling9
data-analysis9
data-visualization8
logging8
http-request8
email-templates8
Programming languages (5)
Github contributions (5)
airbnb/knowledge-repo
May 2020 - Mar 2021
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 5 PRs, 1 push in 10 months
Contributions summary:Serena primarily focused on back-end enhancements related to email notifications and image handling within the knowledge-sharing platform. They implemented features to correctly display thumbnails in email notifications, updated dependencies, and improved error handling by including traceback information. Furthermore, the user addressed code review suggestions and made a crucial fix to ensure YAML data is fully loaded. The contributions are crucial for the functionality of the platform, particularly for notification delivery and data processing.
scientistsnext-generationdata-analysisdatadata-science
apache/superset
Aug 2019 - Apr 2022
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:Back-end Developer
Back-end DeveloperContributions:17 reviews, 37 commits, 73 PRs in 2 years 8 months
Contributions summary:Serena primarily contributed to bug fixes and improvements within the Apache Superset platform. Their work involved addressing issues related to data query handling, including correcting how lists are processed in queries, and fixing scenarios where queries could not be found. The user also made enhancements to the logging of SQL Lab queries by adding query IDs to logs, and implemented retries for stopping queries. Additionally, they ensured the correct handling of nullable booleans in the dataframe and addressed time-based table errors.
pythonapache-supersetflaskbusiness-analyticsbusiness-intelligence
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