Fangqi Zhao

Data Science @Robinhood

Role
Data Scientist at Robinhood
Location
Fremont, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Fangqi Zhao

A highly experienced data scientist with 6+ years of progressive experience driving strategic decisions in high-growth technology environments. I have deep domain ownership across multiple high-stakes areas, including Crypto Trading, Staking, Web3, and User Activation. I specialize in the end-to-end enablement of complex product features, from designing sophisticated A/B tests and performing deep-dive causal analysis, to architecting scalable data pipelines that power real-time analytics. Proven track record of collaborating with cross-functional partners to translate organizational OKRs into actionable, data-driven strategy and measurable business outcomes.

Experience

  1. Data Scientist

    Robinhood

    Dec 2019 — Present · Menlo Park, CA, US

    Spearheaded data strategy and experimentation across multiple distinct, high-growth product areas (including Web3, Crypto Transfers, Staking, Robinhood Connect, Trading and User Activation), ensuring end-to-end data readiness and instrumentation for complex 0-to-1 launches with large data volume- Drove product decision-making by owning the full A/B testing lifecycle. Managed a high-velocity experimentation pipeline and delivering actionable recommendations and deep dive analysis that directly shaped the strategic roadmap with cross-functional partners- Architected and managed a multiple-layered data pipeline system to efficiently support complex analysis. This effort significantly improved the stability and efficiency of daily data inquiry, enabling automated dashboards and reliable reporting for the entire product organization.

Education

  • Central University of Finance and Economics

    Bachelor's degree, Public Finance& Accounting

    2013 — 2017

  • University of California, Davis - Graduate School of Management

    Master's degree, Business Analytics

    2018 — 2019

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