Optimism's Superchain is built on the OP Stack: Ethereum Layer 2 infrastructure. We support with data engineering, data science/machine learning, business intelligence and building a community around data as a public good. We believe data should be open-source and accessible; and data-driven decision making should be democratized.

Fractional Head of Data and AI/ML product build.

Leads a high-performing team of data engineers, data scientists, analysts, and researchers. We are harnessing large amounts of data to meet her where she is, personalize her journey with us, and build an insights engine for our partners. My team has a customer-obsessed mindset, pursuing product market fit through experimentation and research.• Employ a data collection strategy that discovers new, genuine ways to collect zero- and first-party data and gain insights into our users.• Build best-in-class data infrastructure that allows us to collect, store, and action off our data real-time.• Implement data governance and integrity frameworks that future-proofs us against increasing privacy regulations while offering transparency on the use of her data. • Build AI/ML and analytics products that enable the collection of data, personalizes her experience, and provides predictive customer and sales insights.

Led team of product managers, designers, analysts, and engineers to launch new products and features on web, iOS, and email.

• Leader within the centralized analytics and business insights team• Development of company-wide KPIs, operational reporting (P&L, customer, and operational metrics), insights generation for marketing, product, and ops stakeholders• Built out operational analytics team democratizing data within the fulfillment centers • Managed data infrastructure projects by closely collaborating with engineering to design new metrics, build out data architecture, and implement company rollout

• Managed technology teams, liaising closely with multiple client business line leads, to assess processes and present results, key metrics, and recommend solutions to executive stakeholders• Competencies in large scale enterprise risk management across multiple business lines, data analytics, strategy, SQL based process automation, financial crimes, and compliance testing• Specialized in credit bureau reporting and consumer compliance

• System owner and lead analyst of application fraud prevention. Analyzed fraud, demographic, and origination data in order to implement preventative measures using rules rationalized with key metrics such as exposure and detection rates• Detection and analysis of fraud trends across retail products in order to produce key risk indicators, metrics, and dashboards for executive reporting• Developed fraud risk management business and technical requirements, policy, and procedures. • Responsible for key internal control measures including but not limited to internal fraud reports to ensure integrity and compliance