Dan Shao is an Analytics Manager with 11 years of data-focused experience, combining statistical rigor, business intelligence, and machine learning to drive decisions across US and Chinese companies. He has progressed from data scientist roles at Didi and Sears to senior and principal analytics positions at Uplift and now leads analytics at Upgrade, demonstrating strong cross-cultural product impact. Comfortable with large-scale data and production systems, he also contributes to open-source infrastructure—improving back-end functionality in the prominent Filecoin Lotus project—which reflects a hands-on engineering mindset beyond pure analytics. With a Master’s in Applied Economics & Statistics and dual undergraduate degrees, he blends quantitative depth with business acumen to translate complex models into actionable insights.
10 years of coding experience
7 years of employment as a software developer
Master’s Degree Applied Economics&Statistics, Master’s Degree Applied Economics&Statistics at Clemson University
Bachelor’s Degree Environmental Science, Bachelor’s Degree Environmental Science at Nankai University
Duel Bachelor Degree Business Administration and Management General, Duel Bachelor Degree Business Administration and Management General at Tianjin University
Reference implementation of the Filecoin protocol, written in Go
Role in this project:
Back-end Developer
Contributions:7 commits, 7 PRs, 15 comments in 4 months
Contributions summary:Dan primarily contributed to the back-end functionality of the Filecoin Lotus project. Their work focused on improving code maintainability and functionality through bug fixes, import adjustments, and adding new features such as the "--no-swap" flag for workers. Furthermore, the user optimized sector information loading and improved the user experience for the `lotus-miner sealing workers` command by adding the total number of cores. They demonstrated a solid understanding of the Filecoin protocol and its internal workings.
Contributions:49 commits, 3 pushes in 3 years 3 months
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