| Role | Intern Data Analyst |
|---|---|
| Period | Jan 2023 – Sep 2024 |
| Role | Intern Research Analyst |
| Period | Jun – Sep 2022 |
| Location | Beijing, China |
Turn transaction data into client insights
I used Python and SQL to analyze profits, losses, and fund flows across millions of arbitrage trades each month. I delivered monthly visual reports to leading overseas enterprise clients and collected their feedback; these services generated more than USD 8,000 in total revenue.
I cross-checked transaction records and arbitrage signals to refine labels and profit calculations, improving the accuracy of the related calculations in client reports by 16.3%.
Find needs in public conversations
I collected more than 900 user posts and applied topic modeling to identify emerging needs and influential voices, producing a high-value prospect list for business development.
Make markets explorable
I built the Ethereum builder performance dashboard, with market-share comparisons and revenue and payment breakdowns by order type and payer.
Explain trading mechanisms
During my research internship, I published analyses of complex flash loans, dYdX flash-loan arbitrage, and Aave flash-loan sandwich attacks.
