INGU
Vaiva Kulbokaite has a diverse work experience spanning different industries and roles. Vaiva currently works as a Data Science Project & Quality Manager at INGU, where they oversee the Pipers® technology for pipeline inspection and monitoring. Prior to this, they worked as a Communications Specialist at DBA Kulbota from 2017 to 2021.
In 2015, Vaiva worked at The Leonardo as a Program Manager, where they achieved significant revenue growth and increased efficiency in the Programs and Education department. Vaiva also had a role as a Supervisor, overseeing the development and implementation of various public programs and coordinating with the museum's chef for dining programs.
From 2010 to 2015, Vaiva worked as an Undergraduate Research Assistant at Vilnius University, Laboratory of Psychophysiology, where they planned and oversaw experiments, analyzed data, and presented results at international conferences. Vaiva also initiated and oversaw science outreach programs and attracted media attention.
In the same period, they were the Founder, Director, and Manager of Mokslas ir Menas, a small non-profit focused on science, innovation, and culture. Vaiva managed projects, built a brand, and promoted initiatives closely connected to these areas.
Vaiva also worked as an Educator at Nacional Art Gallery, where they developed an innovative teaching method combining human vision perception and the arts. Additionally, they participated in the Lithuanian museums project "Alive School at the Museum," tutoring students and contributing to educational materials.
Earlier in their career, they worked as an Analyst at the Ministry of Economy of the Republic of Lithuania, Knowledge Society Division, collecting and analyzing information on knowledge society, innovation, and high-tech issues. Vaiva also verified small business grant proposals and handled complaints.
Furthermore, they served as Manager and Director at Green Generation, where they prepared proposals for EU funding and supervised a volunteer team. Vaiva also gained experience as a Project Manager and Assistant Project Manager at Advertising company "Partizanas," managing marketing campaigns and organizing advertisement campaigns and small events.
Overall, Vaiva Kulbokaite's work experience showcases their versatility, leadership skills, and their ability to contribute to various fields, including data science, communication, project management, and research.
Vaiva Kulbokaite obtained a Bachelor of Science (B.S.) degree in Physics from Vilnius University from 2005 to 2009. Subsequently, they pursued a Master of Science (M.S.) degree in Biophysics from Vilnius University from 2009 to 2012.
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INGU
Currently, inline inspection in the oil and gas sector is a series of staged engineering events, designed to assess the condition of pipeline assets. It is costly, infrequent, and only addresses those lines that are within reach. In fact, it is estimated that 40% of the world’s pipelines are unpiggable. The vulnerabilities between inspections,which are typically years apart, or the inability to conduct inspections at all, puts the world’s aging pipeline infrastructure at risk. In order to address these issues, we have focused on changing the economics, the technology, and the workflow associated with inline inspection. We have introduced the industry’s first self-serve inspection model that eliminates significant engineering and downtime costs. We have developed miniature, multi sensor Pipers® technology that freely flows within any and all active pipelines, regardless of location, condition, material or configuration. This technology is capable of inspecting pipelines as small as 2 inches in diameter, and surveying for leaks, geometric defects, magnetic anomalies, and deposits in a single run. Further, we have reduced the cost of inline inspection by a factor of 10, making it possible for integrity programs to be more present, more often, across all of their assets. Finally, such accessible technology has given us the opportunity to work with a complete range of clients – large and small, private and public – resulting in rich datasets libraries that offer unprecedented contextual analysis and continuous advancement of our data analytics capabilities. Our approach provides clients with uninterrupted access to up-to-date condition-critical data, allowing them to optimize planning, decision-making, and actions.