Anna Tolmacheva

Analyzed Cetus protocol market data to uncover liquidity trends and opportunities on the Sui blockchain; analyzed pool data, calculated liquidity depth and distribution, and visualized results; estimated trade sizes based on slippage thresholds; examined and visualized coin holders and wallet data; utilized blockchain APIs, Jupyter Notebook, and TypeScript; created clear documentation of analysis findings.

Worked with the bank's data warehouse: wrote and optimized complex SQL queries for large data volumes; completed 5 business tasks (e.g., automating reports for government subsidy programs, automating the search for duplicates of phone numbers of bank users), collected and specified business user requirements, and suggested problem-solving approaches; analyzed and prepared 20+ prototypes of data marts using PL/SQL to combine needed data from the warehouse; designed data models and data flows; formulated technical requirements for developers; conducted user questionnaires and designed BI reports; presented and negotiated solutions with bank data architects; authored Confluence documentation on data marts with algorithm explanations and user manuals.