Cody Dietz

Cody Dietz has a diverse work experience spanning multiple companies and roles. Currently, they are working at Automox as a Security Engineer, starting in June 2022. Prior to this, they were a Senior Software Engineer at the same company from July 2021 to January 2023. Before joining Automox, Cody worked at DocuSign as a Technical Consultant II from February 2020 to October 2021. Cody also served as a Senior Software Developer at POLYWOOD from November 2017 to 2019. Cody contributed to the software engineering field as a Senior Software Engineer at Do it Best Corp. from April 2017 to October 2017. Cody started their career at King + Knight as a Software Engineer - Contracting from January 2015 to August 2016. Cody also gained valuable experience at Marquis ID Systems as a Software Developer from August 2014 to January 2015, where they worked on various projects involving Microsoft SQL, VB.NET, C#, C++, Python, and Perl. In addition, they provided technical support for software and hardware solutions. Cody began their professional journey at Wellness Management Systems as a Software Engineer from July 2013 to August 2014.

Cody Dietz's education history includes studying Mathematics at Purdue University. It is unclear when they started or completed their degree at the university.

In addition to their formal education, Cody has obtained various certifications. These certifications include being a DocuSign CLM Administration Specialist, a DocuSign Insight Administration Specialist, a DocuSign Agreement Cloud Specialist, a DocuSign eSignature for Salesforce Specialist, a DocuSign CLM Specialist, and a DocuSign CLM Workflow Specialist, all obtained in 2021. Cody has also completed the "Cleaning Data in Python" course from DataCamp in 2018, the "Python Data Science Toolbox (Part 2)" course from DataCamp in 2017, and the "C++" certification from TestDome in 2019.

Cody is also associated with several other courses and certifications, but the information does not specify when they obtained them. These include the "Data Cleaning Course" and "Data Science Projects Course" from Dataquest.io, as well as the "Deep Learning in Python," "Importing Data in Python (Part 1) and (Part 2)," "Intermediate Python for Data Science," "Introduction to R," "Python Data Science Toolbox (Part 1)," "Python for Data Science," and "Statistical Thinking in Python (Part 1)" courses from DataCamp.