Chung David

• - Technical lead for causal inference and experimentation within Global Analytics

• - Advocate for rigorous causal methods, guiding teams on advanced experiment design.

• - Authored Heineken's Best Practices for Experiment Design.

• - Shaped Heineken's E-Business strategy by using leading indicators to define team OKRs and testing priorities.

• - Designed quasi-experimental studies to advise multimillion-euro investments.

• - Applied causal ML methods to optimise visit recommender efficiency by 70%.

• - Named and contributed to HeiWhy, Heineken's experimentation package, automating power analysis, analysis, etc.

• - Prototyped interleaving designs for rapid Recommender Optimisation.

• - Prototyped concurrent A/B testing designs for optimising high dimensional business levers, enabling scale-up of A/B Tests from 10 to 1000+ per year.

• - Developed Contextual MAB to personalize product suggestions based on customer history, increasing engagement.

• - Improved targeting of a rewards programme using logistic regression, lifting conversion rates by 20%.

• - Developed ETL data pipelines in PySpark and executive-facing dashboards.

• - Designed and Analysed experiments to build heart valve simulations.

• - Built Python scripts for R&D; applications in medical device engineering.