Master of Science in Applied Data Science and Statistics

United Kingdom

Master of Science in Data Science and Business Analytics

United Kingdom

Bachelor of Science (Hons.) in Business Studies and Finance

United Kingdom

Data Scientist, Business Intelligence

● Successfully deployed Machine Learning models with SQL, R, & Python to establish company-first predictive analytics, forecasting user engagement and ad inventory for our sales, product, and editorial teams with 90% accuracy, creating new data-driven avenues for operational planning.

● Effectively leveraged Natural Language Processing techniques to analyze article title text data, identifying key article cohorts and evaluating their performance to help derive actionable insights.

● Pioneered MotorTrend’s first-ever editorial content ROI framework by both projecting and quantifying the long-tail performance of articles, optimizing content investment, and reducing editorial personnel and freelance costs by 20% ($1.0M) while maintaining audience engagement and revenue.

● Spearheaded MotorTrend’s critical weekly website traffic reviews with the executive leadership team, delivering in-depth analyses of historical site performance, uncovering emerging trends to address volatility, and providing actionable recommendations directly guiding business strategies operational improvements.

● Translated business needs from executive leadership into technical requirements for our data teams, acting as the key liaison between data engineering, product analytics, and non-technical stakeholders.

● Played a critical role in ensuring seamless data accuracy during the implementation of a new data warehouse (Snowflake), customer data platform (mParticle), and content management system (Webiny) by establishing validation protocols for maintaining data consistency across platforms which were critical for uninterrupted operations and reliable ongoing decision-making for executive leadership

● Own end-to-end management of internal and external data requests for BI department, independently translating complex stakeholder inquiries into actionable insights – established and streamlined an ad hoc request intake process, ensuring all incremental data requirements are prioritized, fulfilled accurately, and delivered within tight deadlines (48 hours typically), driving key decision-making across teams

● Designed and developed interactive dashboards and visualizations in Tableau, Adobe Analytics, and Amplitude, enabling stakeholders to track key performance indicators, uncover actionable insights, and drive data-driven decision-making – collaborated with cross-functional teams to translate business needs into customized analytics solutions, enhancing visibility into performance trends and operational efficiency 

Data Analyst Intern

● Enhanced content viewership analysis by developing a project focused on sequential content consumption patterns among subscribers, providing actionable insights into viewer behavior
● Delivered findings that rationalized content and marketing investments, reducing inefficiencies and
mitigating subscriber churn.