Andrew Rowan
About Andrew Rowan
Andrew Rowan is a Data Scientist at Kindred Group plc in London, England, with a strong background in both data science and petroleum engineering. He has extensive experience in offshore operations, data analytics, and model interpretation, supported by advanced skills in various business analytics tools.
Work at Kindred Group
Andrew Rowan has been employed as a Data Scientist at Kindred Group plc since 2021. He operates from the company's London office, contributing to data-driven decision-making processes within the organization. His role involves applying advanced data science techniques to enhance operational efficiency and improve customer experiences.
Education and Expertise
Andrew Rowan studied Data Science at Flatiron School from 2020 to 2021, where he gained foundational knowledge and skills in the field. He holds a Master's degree in Petroleum Engineering from Heriot-Watt University, obtained between 2013 and 2014, and a Master of Engineering (MEng) in Civil Engineering from The University of Edinburgh, completed from 2006 to 2011. His educational background supports his expertise in both data science and engineering disciplines.
Background in Petroleum Engineering
Andrew has a significant background in petroleum engineering, having worked at CNOOC International as a Petroleum Engineer and Data Scientist from 2017 to 2021. His responsibilities included offshore operations and well interventions. Prior to this, he served as a Reservoir Engineer at Repsol Sinopec Resources UK Limited from 2014 to 2017, where he focused on simulation modelling and reservoir data surveillance.
Technical Skills and Tools
Andrew possesses advanced skills in various business analytics tools, including PowerBI, Tableau, and Spotfire. He employs imbalanced data solutions such as SMOTE in his data science workflows and utilizes explainability tools like SHAP for model interpretation. Additionally, he has experience with AWS Sagemaker and S3, which he uses for data science projects.
Previous Engineering Experience
Before transitioning into data science, Andrew worked as a Civil Engineer at Mott MacDonald for one year in 2012-2013. This role provided him with a solid foundation in engineering principles and practices, which he later integrated into his work in petroleum engineering and data science.