London, England, United Kingdom
Problems. There’s just too many of them in the world. My passion has always been to solve problems. Some might even say I thrive in chaos, but I just like to work with chaos and make it a little less chaotic. Whether it’s in healthcare, user research, a PhD, education, coaching, or with data and tech – I have loved solving problems across all these settings in my career. Small problems that impact the individual, big ones that change the direction of an organisation, you name it. From working with patients with schizophrenia, to using code to develop data insights, to help close sales pitches of up to £10million, I’ve been able to use this skill in different ways. I’ve learned that problem solving is at the heart of any success story, getting over the obstacles is what makes it so exciting. I’ve co-ordinated squads, ran agile sprints, de-bugged code, scoped out and built digital products, created roadmaps for strategic planning, and delivered on impactful data insights – all of which are the perfect callings for my problem-solving passion. With every problem I’ve solved (or not solved, because there’s some of those to), the more I’ve learnt about approaching the unknown and breaking down complex challenges into small, more digestible ones. I would attribute much of my proven track record to this formula. Problems. Nobody likes them. Let’s try and keep them to a minimum. It’s time we start solving them and solving them together. Currently, I’m working to solve the problem of compensation, helping companies get compensation right because these aren't just nice-to-haves, they affect our day to day lives. My specialties include; problem solving (as you know by now), data analytics/science, product management, cross-functional teamwork, Python, communication, writing & publishing, data visualisation, research, coaching, and SQL.
As Ravio's founding Insights Lead, I am responsible for establishing and leading the company's research and insights function from the ground up. This highly cross-functional role sits at the intersection of data, marketing, and product — working closely with teams across Marketing, Product, and Engineering to transform our proprietary compensation data into powerful insights that drive industry conversation around pay equity, talent movement, and compensation strategy. Alongside this, I'm building out Ravio's insights data architecture — designing and implementing models in dbt through to the semantic layer in Looker. This infrastructure underpins data-informed decision making across our internal business teams, including RevOps, GTM, Marketing, Operations, and Growth.
Within the organisation's centralised Data & Insights team, I served as the primary point of contact for all data needs from Operations (~300 people) and Product squads developing customer-facing features that support learners in completing their qualification. I led the definition, delivery, and coordination of quarterly data roadmaps, comprising 10+ initiatives. This highly cross-functional role involves working closely with stakeholders to gather user stories, align priorities, and drive data-informed decision making across the organisation, while managing day-to-day deliverables in Linear for our data squads, including data engineers, data scientists, and analysts. I collaborated with product teams to leverage AI/ML models impacting learners, identifying those at risk of churn, informing product strategy, and defining data schemas for robust pipelines and data quality. This has strengthened my expertise in micro-services architecture, event publishers/consumers, and APIs. The role is also technically hands-on, involving complex SQL and Python to uncover insights. Key achievements include: - Launched the organisation’s first data self-service offering to 50+ analysts, achieving 100% adoption. - Owned 15+ dashboards serving 400+ stakeholders, with 1.5k+ monthly views. - Defined and created 30+ KPIs for Monthly Business Reviews to monitor Operational performance. - Coordinated insights to drive product development and marketing strategy. - Developed a data-science vision for product, leading to deployment of 2 ML classification models and 1 knowledge graph targeting user retention, achieving 80%+ accuracy in highlighting users at risk of churn. - Oversaw migration of the data warehouse to dbt, then to Snowflake. - Delivered ML models to user-facing features, improving compliance ratings by 4% and securing 96% of lifetime revenue from users.
As the Technical Lead for our data program, I was the subject matter expert for our product and program, collaborating cross-functionally with various business teams to achieve their OKRs. My responsibilities spanned three core domains: Go-To-Market (GTM): I supported our largest enterprise clients in achieving their digital transformation goals through our product and program. I collaborated closely with the Go-To-Market team, providing expertise to secure deals worth up to £10 million and support existing clients. I communicated with external HR leads, data & adoption leads, and strategic decision-makers, and acted as a consultant to onboard clients with the appropriate tech stack for our product. Product & Programme Support: Using an agile framework and coordinating design sprints with a team of eight, I developed and designed internal technical training for a global team of 100+, covering SQL, Power BI, Tableau, Python, and Statistics. As part of the leadership team, I aligned with and supported the management team of 30+, modelled leadership, conducted candidate interviews, and supported the wider business. Cross-Functional Consultant: I provided subject-matter guidance to various internal functions such as Product, GTM, Psychometrics, Insights, Admissions, and Learning teams. I supported data scientists in identifying model features for production, collaborated with psychometrics to redesign our admissions application, identified product requirements for internal Tableau dashboards, and created playbooks for our enterprise clients.
As a Data Coach I have taught and mentored over 50 digital/data professionals to use Excel, SQL, Tableau, Power BI, Python and R to support their companies’ digital transformation. I mentor both early talent and established professionals at different stages of their career to understand, work with, and analyse data as well as develop the necessary soft skills needed for their career development. Helping others to identify, scope out, and design digital products for their business teams. The organisations the professionals work at include; the NHS, Chelsea FC, Ogilvy, Deloitte, Local Councils, Financial Services, Consultancies, and more. I have a 100% pass rate and a 60% distinction rate as a coach – the highest in our team’s history. Typical Python packages include; pandas, numpy, matplotlib, seaborn, sci-kit learn, and stats models, with knowledge of exploratory data analysis (EDA), regression models, classification models, time series forecasting, web-scraping, natural language processing (NLP) and more. I have familiarity with a range of tools including SQL, Tableau, Power BI, Looker, Python, R and SPSS.
This PhD was funded (i.e., scholarship) by the National Institute of Health Research (NIHR) & Maudsley BioMedical Research Centre (BRC). Thesis titled: ‘The Development and Pilot Testing of Gender-Sensitive Mental Health Interventions Targeting Help-Seeking for Male Students’. This PhD was divided into 4 key projects, 1) The evaluation of existing health interventions for men using a systematic review. 2) Qualitative focus group research with men to understand help-seeking behaviours. 3) Development and design of a face-to-face product (i.e. intervention). 4) Implementation and evaluation of developed product within a health setting. All four of these projects have been published in academic/scientific peer-reviewed journals. I was a PhD representative for other NIHR funded candidates and have engaged in teaching and marking responsibilities for the undergraduate BSc Psychology degree.
This was a four-week opportunity situated within Indonesia including the island of Bali and East Java. Here, I worked within a psychiatric facility as well as multiple rehabilitation centres, running activities with service users throughout their recovery. Additionally, I taught English to the local community for both adults and children. For the duration of my time in Indonesia I was based within a local family's home - immersing myself in the vibrant exciting culture.
This research assistant (RA) post is based within the Institute of Psychiatry, Psychology and Neuroscience. My main responsibilities involved data collection for EU funded projects relating to mental health in accordance with the research protocol, via telephone, face-to-face interviews and validated questionnaires. Additionally, I collected MRI data, hair and saliva samples, attended multi-centre telephone conferences, reported back to the EU on our progress, submitted amendments to the research protocol, conducted data analysis and delegated responsibilities to other junior members within the research team.