To pursue a challenging career in a progressive environment where learning, innovation and creativity are encouraged, where my skills and knowledge can be enhanced to their maximum potential to contribute to the overall …
To pursue a challenging career in a progressive environment where learning, innovation and creativity are encouraged, where my skills and knowledge can be enhanced to their maximum potential to contribute to the overall success and the growth of the organization.
To pursue a challenging career in a progressive environment where learning, innovation and creativity are encouraged, where my skills and knowledge can be enhanced to their maximum potential to contribute to the overall success and the growth of the organization.
Currently, I am working as a Technical Support Data Engineer at TechnipFMC Kongsberg.
Support and handling of incoming Tasks and Incidents over the phone and follow-up in ServiceNow.
Collaborate with other teams of IT services, Data Center, Network infrastructure and update inventory database system (symphony database).
Maintaining the access right for users for shared files and folders, User login, Password reset, windows desktop and server operating systems, active directory, and incident management system.
Installing, Maintaining, and upgrading of server network equipment and its infrastructure.
Providing consultation to users on hardware and software related issues.
The tools used include ServiceNow, iSolve, PowerShell, Microsoft Azure and Active Directory.
Used different fully conventional neural networks application in seismic interpretation with a focus on fault imaging and learn and applied supervised deep learning.
Machine learning Algorithms (supervised and unsupervised) used such as SegNet and U-Net and applied a modified version of U-Net (Light U- Net) to carry out the master thesis research work.
Learn how to use the Machine learning Platform, EarthNet, the software provided by Earth Science Analytics AS.
Managed to build interdisciplinary knowledge and necessary skills in both Machine Learning and Geology.
Fault analysis/characterization in seismic includes investigate how frequency of minor faults changes around the major faults with respect to the inclines and depth.
The tools used include machine learning software EarthNet, Python, subsurface interpretation software Petrel and Excel, Adobe Photoshop CS6.
I have worked on a summer project with Equinor As.
Create an application that would i) display numerical data (dimensions of deep-water elements) in charts with regression lines and prediction intervals, ii) plot user-defined values on the displayed charts, and iii) output prediction values based on the regression and prediction intervals;
Create a web-based front-end that would house the application and include a front page and additional pages detailing the terminology and methods, and;
Calculate prediction intervals for the charts to be displayed, create the content of the front page and the ‘terminology and methods’ pages, and finally, to demonstrate how this web-based application can be implemented in exploration.
The end-product of the internship was supposed to be a ready-to use web-based solution with no additional development needed in the future.
The tools used include Visual Studio Code, python, JavaScript, SQL, HTML, Reactjs, Equinor Design System – EDS, Recharts and Azure.
Research project with University of Oslo at SIRIUS–Center for Scalable Data Access SIRIUS.
Used ontology method to build ontology platform for annotate geological images for example, Structural, Geological maps, Lithostratigraphic maps, Geological Cross sections and Velocity and Density maps.
Used Machine learning methods (Deep Neural Network) to predict different properties in the geological images.
Freelance IT Consultant for International IT firms in Norway and Sweden.
Worked in Excis Compliance Ltd UK as Freelance IT Consultant for two years.
Here I worked with operations on Windows, Linux / UNIX platform, Microsoft SQL Server, Network (LAN / WAN) and Cisco routers / switches.
Worked more than one year as a Trainee Data Geologist at OGDCL Islamabad Pakistan and has been involved in these tasks.
Analysis of oil well drilling mud and well cuttings during drilling operations to detect presence of oil or gas identify productive strata.
Well-Logging Operators, Mud Analysis petrol and gas engaged in continuous sampling & analysis of mud circulating through wells being drilled preparation of mud analysis logs.
Summarizes log data and core analysis.
Reviews analysis made by workers of cores cut from wells for defining nature of earth formations penetrated.
Construction of Structural and Geological maps using Petrel 2012 and Arc GIS 9. 3.
The tools used include Petrel 2012, IP ® Interactive Petrophysics and Arc GIS.
Monitoring site conditions using a computerized logging unit and providing daily logs reports.
Support and handling of incoming Tasks and Incidents over the phone and follow-up in ServiceNow
Collaborate with other teams of IT services, Data Center, Network infrastructure and update inventory database system (symphony database)
Maintaining the access right for users for shared files and folders, User login, Password reset, windows desktop and server operating systems, active directory, and incident management system
Installing, Maintaining, and upgrading of server network equipment and its infrastructure
Providing consultation to users on hardware and software related issues
The tools used include ServiceNow, iSolve, PowerShell, Microsoft Azure and Active Directory
Used different fully conventional neural networks application in seismic interpretation with a focus on fault imaging and learn and applied supervised deep learning
Machine learning Algorithms used such as SegNet and U-Net and applied a modified version of U-Net (Light U-Net) to carry out the master thesis research work
Learn how to use the Machine learning Platform, EarthNet, the software provided by Earth Science Analytics AS
Managed to build interdisciplinary knowledge and necessary skills in both Machine Learning and Geology
Fault analysis/characterization in seismic includes investigate how frequency of minor faults changes around the major faults with respect to the inclines and depth
The tools used include machine learning software EarthNet, Python, subsurface interpretation software Petrel and Excel, Adobe Photoshop CS6
Create an application that would display numerical data in charts with regression lines and prediction intervals
Create a web-based front-end that would house the application and include a front page and additional pages detailing the terminology and methods
Calculate prediction intervals for the charts to be displayed, create the content of the front page and the 'terminology and methods' pages, and finally, to demonstrate how this web-based application can be implemented in exploration
The end-product of the internship was supposed to be a ready-to use web-based solution with no additional development needed in the future
The tools used include Visual Studio Code, python, JavaScript, SQL, HTML, Reactjs, Equinor Design System – EDS, Recharts and Azure
Used ontology method to build ontology platform for annotate geological images for example, Structural, Geological maps, Lithostratigraphic maps, Geological Cross sections and Velocity and Density maps
Used Machine learning methods (Deep Neural Network) to predict different properties in the geological images
Analysis of oil well drilling mud and well cuttings during drilling operations to detect presence of oil or gas identify productive strata
Well-Logging Operators, Mud Analysis petrol and gas engaged in continuous sampling & analysis of mud circulating through wells being drilled preparation of mud analysis logs. Summarizes log data and core analysis
Reviews analysis made by workers of cores cut from wells for defining nature of earth formations penetrated
Construction of Structural and Geological maps using Petrel 2012 and Arc GIS 9. 3
Monitoring site conditions using a computerized logging unit and providing daily logs reports
Construction of Structural and geological maps using petrel software and Arc GIS 9.3, Geo referencing, editing and topology in Arc GIS 9.3
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