Lead large-scale analysis on Digital Identity. Working with my team to propose, design and implement a department-wide data strategy and roadmap.Leading on procuring a cloud based data warehouse to modernise our data infrastructure. Building data pipelines on Google Cloud Compose and AWS Lambda. Creating data governance in the department, building a data catalogue including data pipeline assurance testing and data lineage, writing data pipeline design principles based on best practices and formalising our data access management.Build standard ingestion testing modules, such as data validation and a PII detection module using a combination of Spacy and pattern matching to alert us through Slack to any leaked personal information.Created a structured testing system for implementing and evaluating A/B and multivariate tests to improve user experience and drive up success rates.Build dashboards and self service tools in Data Studio and Tableau allowing Senior Civil Servants and Ministers to quickly make informed decisions by themselves when extending large contracts with external suppliers.Lead on recruitment of analysts to the team.Partnering with private Identity Providers, planning and generating BAU reporting and ad-hoc insights in order to improve the service

- Pull the charity towards a data and evidence based approach to supporter engagement- Worked cross-organisationally to agree and attribute comparable scores to every measurable supporter interaction with the charity, using the scores to provide regular performance monitoring, segmentation and supporter engagement journeys to move supporters towards legacy giving- Developed a generic classifier using Random Forest which automatically queried a supporter's behavioural and demographic data, determined the most predictive features for a supporter being part of a specified group and predicted which group a supporter would fall into. This is used for both Likely Regular Giving Cancellations and Retiring Community Organisers- Developed a user-based collaborative filtering recommendation engine which scored the similarity of supporters based on their email interaction behaviour for products where email represents the primary means of communication. This has been used to identify likely campaigners and one-off cash givers- Identify underperforming areas of the charity and those areas for potential growth and work with product teams creating action plans to address underperformance and drive growth- Created and maintain a suite of Power BI dashboards to move reporting away from inconsistent, ad-hoc and time consuming to consistent, easily accessible, automatically updating and near real-time reporting- Created a simple to use Significance Test Calculator for A/B Testing hypotheses and difference in means for gifts- Undertake deep-dive evaluations into the charity's most important fundraising products to identify key underlying trends and performance drivers, generating recommendations and action plans for improvement

Providing insights to both Campaigns and Fundraising Teams. This includes building Artificial Intelligence and Regression Models for targeting supporters and tailoring messaging. Analysing the performance of outgoing communications to inform national and local campaign strategies. Leading the transition of the organisation to a singular source of reporting with Power BI. Evaluating the performance of large, integrated fundraising campaigns and guiding them using data driven insights.