Dublin, County Dublin, Ireland
Senior Analytics Professional with 13+ years of experience at the intersection of data, AI, and Trust & Safety. I partner with engineering, product, and operations leaders to build data-driven solutions at scale - from designing LLM-powered automation tools to evaluating ML model performance and building statistical measurement frameworks. Currently at Meta, I'm developing Generative AI tools that automate content moderation diagnostics, evaluating AI model accuracy across 30+ sites, and designing evaluation datasets across abuse categories. Previously at Pinterest, I consolidated 20+ legacy reports into a single analytics platform, improved team efficiency by 50%, and raised compliance logging from 68% to 97% in six months. I care about building things that matter - whether that's a quality measurement system where none existed, an AI tool that saves 80% of manual effort, or a team culture where people actually enjoy coming to work. SKILLS Data Analysis · Data Science · Data Engineering · SQL · Python · LLM / Generative AI · ML Model Evaluation · Statistical Analysis & Hypothesis Testing · AI-Powered Automation · Data Visualisation (Tableau, Power BI) · Trust & Safety · Experimentation · Data Modelling & Warehousing · Big Data · Cross-Functional Leadership · Mentoring · Agile & Scrum Interested in helping people better understand their data and increasingly, helping AI do it too.
- Designed and delivered AI-powered quality measurement systems for content review operations serving 30+ global sites, creating quality signals where little previously existed. - Developed Generative AI automation tools for content moderation error diagnosis. - Built evaluation datasets and ground truth labelling frameworks across abuse categories (e.g. spam, fraud, exploitation), enabling data-driven classifier and reviewer accuracy measurement. - Established vendor accuracy measurement frameworks validated through statistical correlation analysis against product-level outcomes. - Drove cross-functional collaboration across Data Science, Engineering, Product, Policy, and Vendor Operations, performing on-call responsibilities and championing AI-first analytics tooling
- Developing a unified source-of-truth dataset and dashboard for productivity metrics, consolidating 20+ legacy vendor reports into a single platform - automating weekly, monthly, and quarterly business reviews, empowering more informed data-driven vendor discussions, and improving Data & Analytics team maintenance efficiency by over 50%. This initiative is also establishing metric consistency and preventing duplicative vendor reporting across all partners. - Scoped and implemented three new T&S Operations metrics, creating the end-to-end framework and documentation to deliver critical business insights and reduce manual audit workload for ops teams. - Driving efficiencies in operational processes and metrics, and conducting deep-dive data investigations to provide actionable insights for leadership on key platform issues. - Fostered team cohesion and an inclusive culture by participating in Pinclusion groups and committees such as the T&S Wellness group, earning recognition for advancing belonging at Pinterest.
- Led rapid development of the end-to-end data infrastructure and reporting strategy to monitor operational efficiency, effectiveness and wellness for our vendor partners (for 30+ sites and 50k+ reviewers) in the Trust and Safety space. This included creating architecture, data pipelines, aggregated data sets, views and Tableau dashboard that acts as a one-stop shop for key operations metrics and increased business efficiency. - Developed a unified reviewer accuracy measurement system for all lines of business across Meta operations, that removed inefficiencies, reduced gamification thereby improving trust in our metrics, unlocked the potential for creating a fungible workforce and lowered auditor workforce requirement by 90%. - Helped evolve and decide direction for many different systems in Operations, especially in the Suppy, Measurement and Wellness domains by connecting the dots between domains. - Led roadmapping for my domains and influenced cross-functional leaders across operations, engineering and data science to advance team priorities and secure resourcing for execution every 6 months. - Scaled impact further by leading and providing oversight to a team of data analysts in the organization in their approach to data modeling, analysis and visualization. - Evangelized products and data visualization best practices in road shows and training workshops at Meta and partner sites. - Took leadership in building internal community programs like Peer Review and Mentorship within the Operations analytics organization to enable knowledge sharing within the organization.
- Key member of an analytics consultancy team, actively collaborating with stakeholders to comprehensively grasp their business requirements. Delivered robust solutions that revolved around uncovering valuable trends and patterns within intricate, data-intensive systems within the utilities and aviation sectors, adhering to Scrum principles. - Adept Data Visualization specialist proficient in creating immersive, interactive dashboards that harness the capabilities of leading tools like Tableau and Power BI. Leveraged advanced SQL, SSIS and SSAS techniques for meticulous data analysis. - Led data analysis, modelling and implementation of large scale projects in the utility and aviation sectors following Scrum principles.