John Kneen

John Kneen has a diverse work experience spanning multiple industries. John currently serves as a Principal Software Engineer at TCN since 2020. Prior to that, they worked at Total E&P Barnett as a Data Scientist and Software Engineer from 2019 to the present, where they focused on research and development of machine learning techniques to optimize plunger lift operations and improve gas production.

John also worked as a Data Scientist at AT&T Foundry from 2019 to 2020, where they utilized their expertise in data analysis. John held multiple roles at Total E&P Barnett USA from 2017 to 2019, including Senior Data Scientist and Contract Data Scientist. In these positions, they contributed to various projects such as machine learning optimization for plunger-lift operations and general operational process improvement.

Before that, they were the Director of Business Intelligence and Business Systems Advisor at Chaparral Energy from 2014 to 2017. Here, they conducted analyses, developed predictive models, and advised on net asset valuation and oil recovery engineering processes.

John also held the role of Director: Analysis Services at Stratmark from 2008 to 2014. During this time, they significantly improved response rates for a client's marketing drive by utilizing machine learning techniques and developed products in various programming languages to provide advanced analytics services.

Furthermore, they worked as the Chief Software Architect at Social Sector Ventures and TeknoWorx in 2013 and Senior Software Engineer at Leaf International Communications in 2007-2008. Earlier in their career, John served as the General Manager at Sui Generis Solutions from 2001 to 2007, where they actively participated in various activities including planning, budgeting, project coordination, and personnel management. John also worked as the Research Manager and System Engineer at NeuralAct in 2000-2001, where they focused on identifying niche areas in the contact center market and designing concept demonstrators.

Overall, John Kneen has a strong background in data science, software engineering, and machine learning, with experience across multiple industries and a focus on optimizing operations and improving productivity.

John Kneen has a diverse education history. In 1985, they enrolled at the University of the Witwatersrand and completed their Bachelor of Science (hons) in Computer Science, with a major in Physics, in 1989. Following their undergraduate studies, they pursued a Master of Science in Computer Science (Machine Learning) at the same university, which they completed in 1998. In 1999, they attended the University of Johannesburg for a certificate course in Mathematical and Computational Methods for Finance and Economics.

In recent years, John has also sought further education in emerging technologies. In 2017, they enrolled in Udacity and completed a Nanodegree in Deep Learning Foundation. Additionally, during the same year, they pursued another Nanodegree in Self Driving Car Engineering at Udacity, which they completed in 2018. It is worth noting that the end year for their most recent education endeavor is not provided, suggesting that they may still be engaged in ongoing learning.