Daniel Durr, Pe, Pmp
About Daniel Durr, Pe, Pmp
Daniel Durr is a Project Manager at Imubit in Houston, Texas, with over 8 years of experience in the Oil & Gas and Technology sectors.
Title
Daniel Durr currently holds the position of Project Manager at Imubit in Houston, Texas, United States.
Current Company
Since joining Imubit, Daniel Durr has been working as a Project Manager, focusing on enabling hydrocarbon processing Owners/Operators to discover, engineer, and monetize process optimization opportunities. His work involves leveraging Imubit’s Closed Loop Neural Network AI platform to enhance the efficiency and performance of hydrocarbon processing facilities.
Previous Work Experience
Daniel Durr has an extensive background in various roles within the engineering and project management fields. He served as Director Of Operations at Voltican, Inc from 2020 to 2022. Prior to that, he worked at TechnipFMC as an Engineer from 2015 to 2020. His earlier experiences include internships and assistant roles at several organizations such as Chevron Phillips Chemical Company, Lamar University, Flowserve Corporation, and Georgia-Pacific LLC. Additionally, he held a position at Best Buy as an MECP Certified Mobile Electronics Installation Technician from 2009 to 2012.
Education and Expertise
Daniel Durr holds a Bachelor of Science (BS) degree in Mechanical Engineering from Lamar University, where he studied from 2009 to 2015. He has accumulated over 8 years of experience in the Oil & Gas and Technology sectors. His expertise spans project management, engineering, construction management, subcontract management, procurement management, and planning/scheduling.
Project Management and Engineering Skills
Daniel Durr excels in supporting and coordinating several phases of complex, large-scale projects, including Proposal, FEED, EPC, and CM. He has a strong understanding of project execution with a key emphasis on contractual obligations. His contributions to Imubit involve driving the optimization of refineries and downstream manufacturing facilities through projects involving the design, build, and implementation/commissioning of Closed-Loop Deep Learning Process Controllers (DLPC).