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Joshua Cheatham has a diverse work experience in various roles and industries. Joshua started in 1999 as a Simulation Intern at SEMATECH. Joshua then worked as a Logistics Analyst at Pfizer from 2001 to 2004, where they made data-backed recommendations to optimize order management systems and save costs. Joshua returned to Pfizer as a Senior Logistics Analyst from 2004 to 2006, where they identified opportunities to save costs through inventory management and optimized geographic service areas.

In 2006, Joshua started their own consulting business, J Cheatham Consulting. Joshua worked as an Owner/Analytical Consultant, providing analytical guidance and developing pricing strategies for clients such as Johnson & Johnson. Joshua also worked with RefreshWeb, an SEO firm, where they created online reporting tools and designed a database to track client and competitor performance. Joshua also worked on a personal real estate analysis project using regression analysis in R.

In 2008, Joshua joined Neuric Technologies, LLC as an AI Research Analyst. Joshua then joined HomeAway.com in 2010 as a Senior SEO Analyst, where they led various SEO projects and created a Share of Voice rank reporting tool. Joshua later became a Senior Business Analyst/Senior Digital Marketing Analyst at HomeAway.com, where they were responsible for website traffic performance assessment, financial modeling, and implementation of a data-driven attribution solution.

Joshua's most recent role is as a Senior Product Analyst at eBay Kleinanzeigen, which they started in 2018.

Joshua Cheatham obtained a Bachelor of Science (BS) degree in Civil Engineering from The University of Texas at Austin in the years 1992 to 1997. Following that, they pursued a Master of Science (MS) degree in Operations Research from The University of Texas at Austin from 1998 to 2000. In terms of additional certifications, Joshua completed the following courses: "3201 - Machine Learning Process" from GAIn® - The Global AI network in June 2020, "Neural Networks and Deep Learning" from Coursera in March 2018, "FastAI Practical Deep Learning for Coders" in February 2018, "Machine Learning @ Stanford" from Stanford University in December 2017, and "Business Applications of Hypothesis Testing and Confidence Interval Estimation" from Rice University in June 2017.