Carl Marquez

Carl Marquez has a diverse work experience in the field of data integration, governance, and analysis. Carl is currently serving as the Director of Data Integration and Governance at Donlen since December 2021. Prior to this, they held the role of Data Governance Lead at Donlen from June 2017 to December 2021. Additionally, they worked as a Senior Client Consultant at Donlen from September 2015 to December 2021.

Before joining Donlen, Carl worked as a Senior Statistician at Sr in 2014. In this role, they utilized advanced mathematical and statistical concepts to analyze and collect data, construct solutions to business problems, and perform complex statistical analysis.

Earlier in their career, Carl served in various roles at Navistar. Carl was involved in leading a team responsible for tracking diagnostic trouble codes (DTCs) and providing trend analysis for fault identification. Carl also managed a team of improvement engineers to support the reliability and quality of the Navistar engine product.

Prior to Navistar, Carl worked at Freightliner as a Lead Technician, where they completed diagnostics on vehicles for repair.

In summary, Carl Marquez has a strong background in data integration, governance, statistical analysis, and leadership roles in the automotive industry.

Carl Marquez pursued their education in a progressive manner, starting with an Associate's degree in Business Administration and Management, General from Kaplan University from 2010 to 2012. Subsequently, they completed a Bachelor's degree in Business Administration and Management, General at DeVry University from 2012 to 2014. Carl further advanced their education by obtaining a Master of Business Administration (MBA) degree with a focus on Management Sciences and Quantitative Methods from Southern New Hampshire University between 2015 and 2018.

Additionally, Carl Marquez has several certifications in Python programming and data science. Carl completed various courses on Coursera, including "Understanding and Visualizing Data with Python" in June 2021, "Introduction to Data Science in Python" in November 2019, "Capstone: Retrieving, Processing, and Visualizing Data with Python" in May 2019, "Using Databases with Python" in March 2019, "Using Python to Access Web Data" in January 2019, "Python Programming Essentials" in April 2018, "Python Data Structures" in September 2017, and "Programming for Everybody (Getting Started with Python)" in August 2017.