Kristina Sanclemente
About Kristina Sanclemente
Title and Current Position at Chevron
Kristina Sanclemente currently holds the position of Drilling Engineer with a digital focus at Chevron in Houston, Texas, United States. In this role, she leverages her extensive background in both drilling engineering and data science to drive innovative solutions and optimize drilling operations.
Previous Roles at Chevron
Prior to her current position, Kristina Sanclemente served as a Digital Product Owner at Chevron from 2020 to 2022 in Houston, Texas, United States. She initially joined Chevron as a UCR El Trapial Field Drilling Engineer and worked in that capacity from 2018 to 2020 in Buenos Aires, Argentina. These roles provided her with a strong foundation in drilling engineering and digital technology applications within the oil and gas industry.
Educational Background
Kristina Sanclemente pursued a Master of Science in Data Science from Rice University, completing her studies in 2022. She also holds a Bachelor of Science in Mechanical Engineering from Georgia Institute of Technology, earned in 2014. Her academic background equips her with a blend of technical expertise and advanced computational skills.
Early Career Experience
Kristina Sanclemente started her career as an Undergraduate Researcher at Georgia Institute of Technology for 4 months in 2013 in Atlanta, GA. She also worked as a Mechanical Engineering Intern at Oceaneering International Inc. Grayloc Products for 7 months in 2012 in Houston, Texas. These roles helped her build a solid foundation in mechanical engineering and research methodologies.
Fluency in Languages and Technical Skills
Fluent in English and Spanish, Kristina Sanclemente can write and translate technical procedures and contract documents in both languages. She is experienced in well design planning and optimization, drilling fluids systems, directional drilling, batch drilling, managed pressure drilling (MPD), wellhead systems, and land rig systems design and layouts. Additionally, she has a strong background in data science and machine learning, proficient in Python, R, and SQL languages.