Andrey Kovalenko, Ph.D.

Supply Chain Value Expert | Digital Transformation | Energy & Oil & Gas | SAP | AI & Data Strategy | Business Transformation | Value Realization | Performance Optimization | Benchmarking & Analytics

Oslo, Oslo, Norway

About

As an Industry Value Advisor at SAP, I leverage my Ph.D. in Applied Math and my previous experience as a Specialist at McKinsey to help Oil and Gas and Energy companies extract value from digital transformation. With over 10 years of combined experience in operations, subsurface, and consulting in heavy asset industries, I have a deep understanding of the challenges and opportunities that digitalization brings to these sectors. I work with customers to identify, quantify, and realize the benefits of SAP solutions across the value chain, from exploration to production, from refining to retail, and from asset management to sustainability.

Experience

  • SAP (4 yrs)
    • Executive Supply Chain Management
      May 2025 - Present · 1 yr 3 mos

      My role involves strategic consulting and solution implementation to enhance operational efficiency and resiliency. I'm eager to collaborate with industry professionals and harness SAP's cutting-edge technology to drive meaningful impact. If you're interested in modernizing your supply chain - from planning to operations and maintenance, let's connect and explore the possibilities together.

    • Industry Value Advisor - Energy
      Aug 2022 - May 2025 · 2 yrs 10 mos

  • Customer Success Director at Cognite
    Apr 2021 - Aug 2022 · 1 yr 5 mos

    Helping Oil & Gas companies to extract value from the Digital

  • Specialist at McKinsey & Company
    Sep 2018 - Mar 2021 · 2 yrs 7 mos

  • Sr Production Engineer at Statoil
    Nov 2011 - Aug 2018 · 6 yrs 10 mos

    Production and injection follow-up Water injection monitoring and design Well interventions PTA analysis Well test design Field development Carbonates

  • PhD researcher at Uni CIPR
    Jan 2009 - Oct 2011 · 2 yrs 10 mos

    Establishing the results on reliability and accuracy for the EnKF (ensemble Kalman filter), a method used to solve history matching problems in hydrocarbon reservoir characterization.