Elie Kawerk is a Staff Data Scientist based in Berlin with a decade of experience turning analytics and machine learning into measurable business impact across retail, payments, and delivery platforms. He specialises in experiment design, causal inference and production ML—having built high-impact systems like recommender engines, uplift-driven churn prevention, and credit risk models at scale. Elie blends hands-on data engineering and MLOps with cross-functional leadership, mentoring teams and embedding rigorous data quality and experimentation practices. Notably, his Word2Vec-based recommender delivered dramatic revenue uplifts and was featured by AWS, reflecting an ability to ship both research-led and production-grade solutions. He emphasises the scientific method over tool fetishism, advocating iterative failure and learning as the path to real value.
10 years of coding experience
11 years of employment as a software developer
Master's degree Physics, Master's degree Physics at Lebanese University - Faculty of Sciences
Executive Program in Algorithmic Trading Algorithmic Trading, Executive Program in Algorithmic Trading Algorithmic Trading at QuantInsti
Data Architect Nanodegree, Data Architect Nanodegree at Udacity
Doctor of Philosophy (PhD) Computational Physics, Doctor of Philosophy (PhD) Computational Physics at Sorbonne University
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