As a Senior Data Scientist with experience primarily across gaming and entertainment, I specialize in leveraging data-driven insights to solve complex business challenges and drive measurable impact. With a strong background in data orchestration, machine learning, and data visualization, I've managed end-to-end data pipelines, developed predictive models, and created actionable business intelligence solutions.
In my most recent role at Global Worldwide, I led the design and implementation of a recommendation system that boosted customer conversion by 30% and revenue by 15%. I have a proven track record of collaborating with cross-functional teams, from product and engineering to executives, to define data-driven strategies that enhance decision-making and drive business success. Notably, my work in improving data warehousing processes resulted in a 30% cost reduction, while my development of self-service BI tools empowered teams to gain deeper insights independently.
Prior to this, I helped Tenacious Entertainment optimize their data infrastructure and develop dashboards that informed strategic business decisions. My passion for combining technical expertise with business acumen has enabled me to deliver high-impact results, including increasing player retention by 130% through targeted AB testing.
I hold a Master’s in Physical Chemistry from the University of Washington, where I honed my analytical skills. Outside of work, I enjoy running, reading, and spending time with my dog, Benny. I’m always excited to connect with others in the data science community and explore new opportunities to create value through data.
AI/ML Engineer for Google via RedCloud Consulting. (Details available upon request.)
▪ Managed end-to-end ELT data pipelines that feed into real-time ML models and BI visualizations.
▪ Designed, AB tested, and launched an in-app purchase recommendation system, increasing customer conversion by 30% and revenue by 15%.
▪ Worked closely with product teams to determine high-impact changes to our live-service mobile video game.
▪ Collaborated with engineering teams to define telemetry requirements, improving gameplay insights and decreasing time to insight on game balance decisions.
▪ Developed a data orchestration tool and reengineered ELT pipelines, cutting data warehousing costs by 30%.
▪ Created and led Looker tutorials, empowering product teams to build their own dashboards and reports.
▪ Created a revenue forecasting model for executive reporting, enabling more accurate financial planning.
▪ Engineered scalable data infrastructure using dbt, SQL, Python, Tableau, and AWS, streamlining analytics and improving decision-making across the organization.
▪ Developed and presented Tableau dashboards and reports for monthly and quarterly stakeholder meetings, delivering key business insights to drive strategic decisions.
▪ Boosted player retention by 130% through the design and execution of AB tests on a new user experience.
• Engineered 10 features for use in a multinomial logistic regression classification model.
• Extracted game review topics relevant to each prediction with TF-IDF and NMF, providing developers with actionable insights.
• Forged a cutting-edge tool ("Gathering Steam") that provides early alerts for revenue-impacting changes in game ratings.
• Evaluated 100k+ game reviews to extract sentiment and provide actionable insights.
• Modeled molecular correlations with quantum mechanical calculations to validate experimental results.
• Devised a model to determine translational stage position with 300 nanometer accuracy whilst in motion.
• Designed and integrated a schematic for a novel data collection scheme, reducing collection time by 90%.
• Managed data pipelines dealing with 3+ MB of data per second from several analog and digital sources.
• Mentored new students, led interdisciplinary projects, and instructed undergraduate chemistry labs.
• Generated 40k followers and 2M+ views by curating live entertainment, providing gameplay insight, and personalized advice to thousands of concurrent viewers.
