I've spent over four years across both AutoTrader and Snap Inc working across the entire data discipline. Whether it's running A/B tests to figure out what improves CX journeys, building machine learning models that predict user behaviour, or creating pipelines that keep data clean and flowing smoothly.
At AutoTrader, I've been involved with optimising the key pages on the site, both Search and advert pages. This has involved designing and reporting on A/B tests to high level executives, building and maintaining data products, and supporting cross functional teams with ad hoc analysis.
Before that at Snap Inc, I ran advertising analytics for the French market and built an alerting system that caught performance issues before they affected marketing campaigns, saving time and money for advertisers.
With my MSc in Data Science and experience using everything from SQL to Python to DBT, I am able to add value to any data project. What sets me apart is making the technical solutions I create understandable for everyone, whether they're engineers who want the technical details or executives who just need to know if it works.
Merit
First Class Honours