Anvar Akhiiartdinov
About Anvar Akhiiartdinov
Anvar Akhiiartdinov is a Data Scientist currently working at Cognite AS in Houston, Texas. He has a strong academic background in Petroleum Engineering and Data Science, with experience in various research and engineering roles across multiple organizations.
Current Role at Cognite AS
Anvar Akhiiartdinov has been employed as a Data Scientist at Cognite AS since 2020. He works in Houston, Texas, focusing on data-driven solutions in the energy sector. His role involves leveraging his expertise in data science to enhance operational efficiency and decision-making processes within the organization.
Education and Expertise
Anvar Akhiiartdinov holds a Doctor of Philosophy (Ph.D.) in Petroleum Engineering from the University of Tulsa, which he completed from 2016 to 2020. He also earned a Master’s Degree in Natural Gas Technology from Norges teknisk-naturvitenskapelige universitet (NTNU) between 2014 and 2016. His educational background includes a Specialist degree in Pipeline Network Design and Operation from Gubkin Russian State University of Oil and Gas, completed from 2009 to 2014. He has pursued various online courses, achieving a MicroMasters Program in Statistics and Data Science from MITx on edX and a specialization in Machine Learning and Data Analysis from MIPT and Yandex.
Professional Background
Anvar Akhiiartdinov has a diverse professional background in engineering and research. He began his career as a Gas Equipment Engineer at IMS Group of companies in Moscow, Russia, from 2013 to 2014. He then worked as a Research Assistant at NTNU and the University of Tulsa, contributing to various research projects from 2014 to 2020. He also gained industry experience as a Petroleum Engineering Intern at Chevron in 2019 and as a Research Intern at TNO in 2015.
Technical Skills and Interests
Anvar Akhiiartdinov possesses advanced programming skills in Python, utilizing libraries such as numpy, scipy, matplotlib, sklearn, pandas, and keras. His technical expertise includes proficiency in engineering software packages like OLGA, PIPEsim, Prosper, PVTsim, and PROII. He has a strong interest in Multiphase Flow, Flow Assurance, Artificial Lift, and Numerical Modeling, which are critical areas in petroleum engineering.