troyzhen

Led product discovery that identified poor liquidity as a core driver of user churn. Designed, built, and launched the 'Liquidity Index' data product, which alerted the Options team to 10+ critical low-liquidity events. This tool enabled a new MM incentive program that recovered options market share from <2% to a consistent >5%. Led discovery on options adoption, identifying that the USDC-only hedge requirement was a key blocker. My recommendation to allow spot-asset hedging was adopted, leading to a 25% increase in options trading volume. Led competitive analysis on options products, identifying key feature gaps (e.g., Simple Options, Strategy Builder). These insights were adopted into the product roadmap and subsequently developed.

Designed the company's first MVPs (Order Central, Wedding Pro) and continuously managed the products through repeated iterations, growing a high LTV user base from 0 to 50. Aggregated user feedback and integrated it into 50+ feature launches. Established best practices for cross-functional collaboration among product, design, engineering, and analytics.

Designed about half of the network’s A/B tests and non-randomized experiments to inform business decisions for new product releases and SEO improvements, resulting in an over 30% YoY gain in organic traffic and leads. Conducted ad hoc analyses using SQL on multiple platforms for product development facilitating 5+ product overhauls. Created Power BI reports to monitor and assess new product features for various KPIs such as traffic and leads. Constructed multiple forecasts for the clicks and impressions of 4 apartments.com network sites using the FBProphet library in Python, and achieved a MAPE of below 10%. Notable Project: RentFit: apartments.com native app’s largest design overhaul, resulting in 20% increase in lead conversion rate. Analyzed users’ interaction with the native app’s search filters to provide actionable insights that facilitated design decisions, using SQL, Python, and data from Google analytics. Designed and analyzed the a/b test for the test launch of the new native app design, results of which directly led to the massive increase in lead conversion rate.

Performed rigorous cost analysis in Teradata and Google Cloud using programming languages such as R and SQL to support key initiatives that reduce costs of company’s distribution network by at least $4 million. Developed the migration and validation of stored procedures and views (SQL) to secure the company’s transition from Teradata to Google Cloud, with variance contained within 1%. Maintained and improved migrated processes that comprise integral parts of other Supply Chain functions. Notable Project: Supply chain integration with the company’s key suppliers that lead to at least $4 million in saving. Conducted in-depth cost analyses to accurately estimate the costs saved by eliminating suppliers’ distribution networks. Presented findings to key stakeholders in supply chain and facilitated the completion of the project.