Stefano Lugo Doval
About Stefano Lugo Doval
Stefano Lugo Doval is a Data Scientist at ExxonMobil in Houston, Texas, with a background in mechanical engineering and machine learning.
Title and Current Role at ExxonMobil
Stefano Lugo Doval is a Data Scientist at ExxonMobil, a position he has held since 2020. He is based in Houston, Texas, United States, where he applies his expertise in data science to various projects and initiatives. His work in this role involves utilizing advanced data analysis techniques to provide insights and support decision-making processes within the company.
Previous Roles at ExxonMobil
Stefano Lugo Doval has a diverse history with ExxonMobil, having held several positions over the years. From 2018 to 2020, he served as a Sales Channel Analyst in the Houston, Texas Area. He was a Petroleum Coke & Sulfur Global Business Analyst from 2017 to 2018 for five months. Before that, he worked as an Energy Management Engineer in Baytown, TX, from 2015 to 2017. His tenure at ExxonMobil also includes roles as a Petroleum Coke & Sulfur Supply Logistics Coordinator from 2013 to 2015 in Fairfax, Virginia. These roles have provided him with a broad spectrum of industry experience and expertise.
Internships at GE Healthcare
Earlier in his career, Stefano Lugo Doval completed two internships at GE Healthcare. In 2011, he worked as a Computer Tomography (CT) Detector: Production Process & Quality Development EID Intern in Waukesha, WI, for two months. In 2010, he spent seven months as an X-Ray Tube engineering EID Intern in the Greater Milwaukee Area. These internships provided him with practical experience in engineering and quality development processes in the healthcare sector.
Education in Data Science and Mechanical Engineering
Stefano Lugo Doval holds a Master of Science (MS) with a specialization in Computer Science - Machine Learning from the Georgia Institute of Technology, which he completed between 2020 and 2022. Additionally, he earned a Bachelor of Science (BS) in Mechanical Engineering from the University of Puerto Rico at Mayagüez, which he attended from 2008 to 2013. His educational background has equipped him with a strong foundation in both engineering and data science.