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John Hawkins

John Hawkins is a senior data scientist, researcher, and software developer with 14 years of experience in applying machine learning and statistical techniques to various data sets.

He has a strong background in building batch scoring and on-demand predictive models for diverse applications such as customer acquisition and retention, fraud detection, insurance, media viewership, ad interactions, and protein/DNA behavior analysis for medical science.

John has deployed interactive dashboards and custom Internet applications using technologies like R-Shiny, PHP, and Java J2EE.

His academic research has focused on developing methods for identifying functional motifs within 3D protein structures and creating custom regular expression languages and algorithms for searching protein structure databases.

He has expertise in using R and Python for data analysis and machine learning, as well as utilizing tools like H2O and MLLib for tackling Big Data problems.

John is proficient in bash scripting and various Hadoop stack tools including Hive, MapReduce, Apache Drill, and Apache Spark for data manipulation and preparation.

His skill set also includes developing in Java, C, and PHP, and specialized knowledge in Machine Learning, Classification, Regression, and Clustering techniques.

Other areas of expertise include Neural Networks, Decision Trees, Random Forest, Gradient Boosted Methods, Bayesian Statistics, Data Mining, Predictive Modeling, Web Applications, and Statistical Models.

John Hawkins holds a PhD and a BSc from The University of Queensland, an Associate Degree from Southern Cross University, and a BA Honors I from the University of Newcastle.

John Hawkins
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Location

Sydney, Australia