Gareth Walker is a highly skilled data scientist with over 10 years of experience in both private sector and academia. With an educational background including a DPhil in Geography and the Environment from the University of Oxford, Gareth is an expert in quantitative research methods, machine learning, statistics, and data visualization. He has the ability to solve complex problems, utilizing the latest data science tools and techniques to deliver insights that are easy to comprehend. Gareth has worked for several notable organizations, including Omnidian, Atkins Acuity, and the Energy Saving Trust, applying his skills to a range of fascinating projects. His areas of focus include feature engineering, error analysis, validation, logistic regression, K nearest neighbors, Density-Based Spatial Clustering of Applications with Noise (DBSCAN) Clustering, Convolution Neural Net (CNN) transfer learning, econometrics, longitudinal analysis, time series, GIS, computational simulations, analysis of variance (ANOVA), and many more.