- Leading history matching process of an oil field by conditioning numerical models to actual historical data by leveraging uncertainty parameters to predict future behavior of the field. - Evaluating business opportunities using numerical, analytical and excel based financial models to improve net present value of assets. - Routinely performing Monte Carlo simulations to assess range of recoverable reserves and economical risks for potential drilling targets. - Responsible for doing annual production forecasting process for revised national budget of Norway and presenting results to internal and external stakeholders. - Collaborating across departments to develop several Power BI dashboards for different business units within Equinor (Operational Excellence Dashboard).

- Reservoir management of a field with 100 Mbbl per day of oil production through water flooding and gas injection using reservoir models, analytical tools and surveillance data. - Led annual business case process by updating hydrocarbon production forecasts using numerical reservoir models and presenting results to government representatives. - Planned and executed wells and interventions activities as part of a cross disciplinary team. - Developed Python script to extract over 20GB of data from 100,000 simulation models, processed it with rolling mean, derivative and moving linear regression to train ML model. - Automated submission and post-processing of simulation models using Python in Linux environment, which resulted in saving ~ 200 man-hours annually. - Constructed several Spotfire dashboards and connected them to internal databases which enabled users to analyze the most up-to-date raw data in a more value-adding format.