Bio

I work with various digital data sources to try and turn it into information and insight. I love to learn new techniques and explore new data, and am practised in changing strategy, intuition and ideas into projects, proofs and delivery.I am an international speaker introducing concepts such as machine learning, cloud computing and data programming as part of my role as a Google Developer Expert.I work daily with programming languages such as R, Python, JavaScript and SQL to process data into useable forms. I am the author of several R packages interfacing with Google APIs, such as Google Analytics, Search Console, Cloud Storage, BigQuery and Compute Engine.I utilise machine learning techniques such as random forests, bayesian approaches to time-series modelling, markov chains, k-means clustering and neural networks to help surface interesting patterns in data. Day to day I work with a variety of data from international companies across many sectors, technologies include Google Cloud Platform (GCE, BigQuery, AppEngine etc.), Airflow, Kubernetes, Docker, Tensorflow, R, Python, Google Marketing Suite including GA360, Adobe Marketing Cloud, Go, SQL, JavaScript etc.