Staff Data Scientist working in RAD (Research, Analytics and Data Science) within Intercom's Product R&D Org. Responsible for Data Science for Intercom's Engage solution, focusing on customer growth, KPI development, product launches and analytics strategy. https://www.intercom.com/customer-engagement

- Head of Data Science for Zazzle, reporting directly to exec team- Own Team Roadmap and OKRs, aligning objectives with company growth goals.- Led the restructure of Zazzle’s Data Org. Defined roles, responsibilities and career architecture.- Work closely with Product, Engineering and Technical Marketing on data integration.- Oversee Data Science Projects including search trend detection, product ranking, lifetime value modelling, and customer identity resolution.- Developed LTV Model using Deep Neural Networks to predict value of 1-time purchase customers.- Assist with onsite AB Testing process, from test design to analysis, using in-house system.- Built and executed company's first geo test to optimise shipping prices- Developed central system for storing customer audiences and segments, to target across multiple channels (SEM, Social, Onsite, Email, SMS)

- Responsible for Data Analytics & Engineering functions, overseeing 5 reports in Cork and Redwood City, California.- Present reports on Zazzle’s growth projects, measuring impact and informing strategy.- Ownership of Business Intelligence and Reporting for Zazzle. Migration of dashboards and reports from Excel to interactive BI Tools to allow self-serve analytics with high business value.- Design and statistical analysis of experiment to measure the impact of direct postal marketing campaign, delivered to 500k customers in the USA, proving incremental revenue uplift.

- Hired as first Data Scientist. Developed a new Data Science function, leading hiring process. Responsible for onboarding, management and career development.- Introduced Python development to team, building company-wide data Python package, training on development workflow and code review process.- Established framework for ETL using Python and Airflow, building data model from internal and 3rd party sources, and automating manual work.- Applied supervised and unsupervised clustering techniques to text data to inform the development of new products on the site.- Developed and deployed a Lifetime Value & Churn model using RFM methods, informing retention strategy for customers and designers on Zazzle.- Built a “Single View of the Customer” database, parsing billion-row traffic raw logs to calculate customer journeys, and developed an attribution model to guide investment strategy.

- Migrated ETL & reporting processes to use centralised reporting database, drawing from MySQL & Cassandra systems.- Added several new data sources to reporting process, such as Elasticsearch.- Migrated and developed reporting, BI and CRM tools such as Qlikview, Qliksense, Salesforce and automated emailed excel reports.- Set up and introduced Metabase as dashboarding and querying service to staff, widely used in the company.- Managed code development and deployment process.- Wrote automated data integrity and quality tests.- Used hypothesis testing to deliver product insights and inform product strategy.- Performed statistical analysis and simulation of casino games to determine potential ROI of promotions.

- Lead the automation of paid advertising using Twitter’s Advertising API, making Web Summit Twitter’s largest non-AdTech client in terms of API usage globally.- Managed and maintained PostgreSQL database, centralising marketing data from 3rd party marketing tools (Twitter, Facebook, Mailchimp, Formstack) via APIs, developing dashboards and automating internal reporting.- Implemented natural language processing techniques to perform customer segmentation based on the content which customers shared on social media.- Scaled automated lead generation for Speakers, Media and Key Attendees through social media APIs and graph network analyses.- Contributed collateral with statistics, demographics and figures for use on blog.websummit.net.- Progressed from Intern Programme to Data Scientist in just 9 months.

- Led weekly labs for 1st year students on on BSc Physics & Astrophysics course- Demonstrated experiments and taught analysis techniques.- Tutored class of 50 1st year students in Introductory Mechanics.

- Drove educational outreach with visitors, answering questions about Astronomy and Science.- Coordinated and devised science workshops for events such as children's birthday parties and open nights.- Taught elementary programming in Scratch at Coder Dojo classes.