Curriculum Vitae

I've spent over four years at AutoTrader and Snap Inc working across the full data discipline. This includes running A/B tests to improve customer journeys, building machine learning models that predict user behaviour, and creating ELT/ETL data pipelines.

At AutoTrader, I've helped optimise the key pages on the site, including Search and advert pages. I design and report on A/B experiments to C-suite executives using both Frequentist and Bayesian methods. I build, monitor and maintain data products using DBT, PySpark and Databricks. I also support cross-functional teams with ad hoc analysis.

I've got experience working with Snowflake and GCP for ingestion, storage and data modelling. For data products. For ML models and recurring analysis, I've used Python, PySpark and Databricks. I follow CI/CD workflows for automated testing and deployment.

I'm proficient in Python and SQL, and I use statistical modelling techniques like regression, classification and clustering for deep analysis. For machine learning model development, I've mainly used scikit-learn but I've only utilised PyTorch and TensorFlow in personal projects. In my spare time, I've explored deep learning through projects involving neural networks and generative AI.

I have an MSc in Data Science, which has given me a strong foundation alongside my experience. What I pride myself on is being able to make technical work understandable for everyone. Throughout my career I've always been able to explain details to different audiences, from engineers to executives.

Data Analyst | AutoTrader

• Designed, executed and reported on A/B tests using Bayesian statistics to optimize website performance.
• Presented statistical experiment results to key stakeholders, influencing business decisions.
• Developed user classification models using K-nearest neighbors to enhance personalization strategies.
• Expanded ML capabilities by leveraging scikit-learn for predictive analytics.
• Improved DBT modelling and created new data products

Data Analyst II | Snap Inc

• Took ownership of technical analytics support for the French market, driving performance improvements.
• Developed an automated alerting system using Google App Scripts and BigQuery to detect poor web tracking performance.
• Helped develop a proactive framework for my team of analysts using my automated alerting system.
• Provided data-driven recommendations that optimised marketing strategies for the French sales team.
• Strengthened campaign performance insights by leveraging Snap Pixel and network event signals.

Data Analyst I | Snap Inc

• Led data analytics support for the French sales team, collaborating closely with Paris-based stakeholders.
• Enhanced advertiser performance by identifying tracking issues and recommending solutions.
• Specialized in web tracking and third-party integrations, deepening expertise in analytics tools.
• Supported sales and product teams by translating complex data insights into actionable strategies.
• Delivered high-impact technical training that improved data literacy across teams both internal and external.

Data Analyst I [Contract] | Snap Inc

• Developed tailored data-driven advertising solutions by leveraging demographic insights.
• Provided marketing campaign data analysis to optimize ad performance for SMBs.
• Strengthened cross-functional collaboration by translating technical data for sales and product teams.
• Worked directly with clients to troubleshoot and enhance campaign performance
• Built strong stakeholder communication skills, improving data accessibility across teams.

MSc Data Science & Business Analytics | University of Plymouth

Merit

BSc (Hons) Business Management | University of Plymouth

First Class Honours