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Danny Farquhar's work experience includes the following roles:

- VP Data Science at OPEX Group - Operational Excellence Group since April 2018.

- X-PASâ„¢ Manager at OPEX Group - Operational Excellence Group from October 2015 to March 2018. This role involved managing the OPEX Predictive Analytics Service (X-PASâ„¢), which uses predictive technology and analysis techniques to provide asset and production managers with information about their assets' performance and the ability to predict future performance of production critical systems.

- Project Manager at Honeywell Process Solutions from March 2012 to September 2015.

- Technical Lead at Honeywell Process Solutions from May 2010 to March 2012 and from July 2006 to May 2010.

- Software Engineer at Honeywell Process Solutions from May 2004 to July 2006.

- Software Engineer at PI Automation from October 2003 to May 2004.

- Software Developer at Aquidata XL from May 2003 to September 2003.

- Software Developer at KELTON Engineering Ltd from October 2000 to April 2003.

Danny Farquhar completed their education history as follows:

Danny Farquhar pursued a Master's Degree in Information Technology from Robert Gordon University from 1999 to 2000. Prior to that, they obtained a Bachelor's Degree in Applied Physics from the same institution, attending from 1992 to 1996.

In addition to their formal education, Danny Farquhar acquired several certifications on Coursera. These include "Customising your models with TensorFlow 2" (obtained in September 2022), "Getting started with TensorFlow 2" (obtained in April 2022), "Python 3 Programming Specialization" (obtained in December 2021), "Convolutional Neural Networks" (obtained in August 2021), "Deep Learning Specialization" (obtained in August 2021), "Sequence Models" (obtained in July 2021), "Structuring Machine Learning Projects" (obtained in April 2021), "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" (obtained in March 2021), "Neural Networks and Deep Learning" (obtained in March 2021), and "Machine Learning" (obtained in January 2021).