Dylan Zammit

I am a Senior Data Scientist with a background in Maths and Statistics. I specialise in applying statistical and ML techniques to high-stakes problems in iGaming. While my core strength is statistical implementations and problem solving, I hold a CKAD certification, which enables me to bridge the gap between complex research and production-grade deployments. I am comfortable with handling ETL pipelines and ingestions from sources such as kafka and deployment processes using Kubernetes. Core Specialisations: Bayesian Modelling: Contributed to the pymc-marketing library and implemented real-time Customer Lifetime Value (CLV) prediction. Quantitative R&D: Experienced in Markov regime switching and volatility modelling for identifying market inefficiencies. Scientific Software: Proficient in building robust, asynchronous Python systems for processing high-volume legal and financial data.