Rachel Bowyer

Rachel Bowyer has a strong background in software engineering and development. Rachel is currently working as a Software Engineer at Previse. Prior to this role, they served as a Senior Software Developer at Droit Financial Technologies, LLC from August 2017 to January 2020. Before that, they worked as a Software Developer at Agents' Mutual from January 2016 to August 2017, where they utilized languages such as Clojure and ClojureScript. Rachel also has experience as a Software Developer at MailOnline, where they contributed to the front-end website development from May 2015 to December 2015. Earlier in their career, they held the role of Vice President at both Goldman Sachs and Lehman Brothers. During their time at Goldman Sachs from February 2011 to May 2015, they were involved in technical leadership, design, code reviews, and development using various architectures such as Slang, SecDB, Scala, Sybase IQ, and J2SE. At Lehman Brothers from 2003 to 2008, Rachel worked in Credit Derivatives, implementing risk assessment systems and utilizing technologies such as J2EE, Perl, TIBCO Rendezvous, Spring, and Hibernate.

Rachel Bowyer's education history is as follows:

Rachel Bowyer attended BPP Law School from 2009 to 2010, where they obtained a Law degree known as the LPC (Legal Practice Course).

Prior to that, they studied at City, University of London from 2008 to 2009, where they pursued their GDL (Graduate Diploma in Law).

Furthermore, Rachel Bowyer obtained a Bachelor of Science (BSc) degree in Mathematics from the University of Bristol. Rachel attended this institution from 1990 to 1993.

In addition to their formal education, Rachel Bowyer has acquired several certifications in various fields. Rachel completed courses such as "Artificial Intelligence Foundations: Machine Learning" from LinkedIn in October 2021, "Nanodegree - Artificial Intelligence" from Udacity in October 2021, "6.86x: Machine Learning with Python-From Linear Models to Deep Learning" from MITx on edX in December 2020, "18.6501x: Fundamentals of Statistics" from MITx on edX in September 2020, and "6.431x: Probability - The Science of Uncertainty and Data" from MITx on edX in May 2020. Rachel also completed the "Mathematics for Machine Learning Specialization" and obtained course certificates for "Mathematics for Machine Learning: PCA," "Mathematics for Machine Learning: Multivariate Calculus," and "Mathematics for Machine Learning: Linear Algebra" from Coursera. Rachel Bowyer has certifications in various programming and algorithmic courses from Coursera, such as "Data Structures and Algorithms Specialization," "Genome Assembly Programming Challenge," "Advanced Algorithms and Complexity," "Algorithms on Graphs," "Data Structures," "Algorithmic Toolbox," and "Algorithms on Strings." Rachel obtained "Principles of Reactive Programming" and "Functional Programming Principles in Scala" certificates from Coursera in May 2015 and May 2014, respectively. Additionally, Rachel Bowyer completed the "Learning From Data (introductory Machine Learning course)" from edX in September 2013 and became an "Oracle Certified Master, Java SE 6 Developer" in June 2011 through Oracle.