Abdelrahman

• Developed drilling fluids formula during the field operation.
• Monitored and corrected the properties of the fluids.
• Supervised the additives’ storage on the rig site.
• Prepared the daily mud report for the job-related parties

• Utilized fleet management software to gather and analyze complex fuel data sets, identifying key trends and patterns.
• Leveraged advanced MS Excel skills to optimize data collection strategies and enhance data quality.
• Collaborated with cross-functional teams to understand fuel needs and translated them into system requirements.
• Prepared comprehensive reports using MS Excel and PowerBI, presenting analytical findings in a clear, concise manner.
• Applied statistical tools in MS Excel for interpreting data sets, focusing on fuel trends and patterns valuable for diagnostic and predictive analytics efforts.
• Ensured data quality and integrity by performing regular data audits and system checks within the fleet management software.
• Developed policies and procedures for the collection and analysis of fuel data within the fleet management software.
• Coordinated with the logistics team to forecast future fuel needs based on historical data from the fleet management software.
• Worked closely with management to prioritize business and information needs within the fleet management software.
• Complied with all relevant WFP standards and regulations related to fuel management.

• Utilized fleet management software to gather and analyze complex fuel data sets, identifying key trends and patterns.
• Leveraged advanced MS Excel skills to optimize data collection strategies and enhance data quality.
• Collaborated with cross-functional teams to understand fuel needs and translated them into system requirements.
• Prepared comprehensive reports using MS Excel and PowerBI, presenting analytical findings in a clear, concise manner.
• Applied statistical tools in MS Excel for interpreting data sets, focusing on fuel trends and patterns valuable for diagnostic and predictive analytics efforts.
• Ensured data quality and integrity by performing regular data audits and system checks within the fleet management software.
• Developed policies and procedures for the collection and analysis of fuel data within the fleet management software.
• Coordinated with the logistics team to forecast future fuel needs based on historical data from the fleet management software.
• Worked closely with management to prioritize business and information needs within the fleet management software.
• Complied with all relevant WFP standards and regulations related to fuel management.

• Utilized fleet management software to gather and analyze complex fuel data sets, identifying key trends and patterns.
• Leveraged advanced MS Excel skills to optimize data collection strategies and enhance data quality.
• Collaborated with cross-functional teams to understand fuel needs and translated them into system requirements.
• Prepared comprehensive reports using MS Excel and PowerBI, presenting analytical findings in a clear, concise manner.
• Applied statistical tools in MS Excel for interpreting data sets, focusing on fuel trends and patterns valuable for diagnostic and predictive analytics efforts.
• Ensured data quality and integrity by performing regular data audits and system checks within the fleet management software.
• Developed policies and procedures for the collection and analysis of fuel data within the fleet management software.
• Coordinated with the logistics team to forecast future fuel needs based on historical data from the fleet management software.
• Worked closely with management to prioritize business and information needs within the fleet management software.
• Complied with all relevant WFP standards and regulations related to fuel management.

•
Utilized fleet management software to gather and analyze complex fuel data sets, identifying key trends and patterns.
•
Leveraged advanced MS Excel skills to optimize data collection strategies and enhance data quality.
•
Collaborated with cross-functional teams to understand fuel needs and translated them into system requirements.
•
Prepared comprehensive reports using MS Excel and PowerBI, presenting analytical findings in a clear, concise manner.
•
Applied statistical tools in MS Excel for interpreting data sets, focusing on fuel trends and patterns valuable for diagnostic and predictive analytics efforts.
•
Ensured data quality and integrity by performing regular data audits and system checks within the fleet management software.
•
Developed policies and procedures for the collection and analysis of fuel data within the fleet management software.
•
Coordinated with the logistics team to forecast future fuel needs based on historical data from the fleet management software.
•
Worked closely with management to prioritize business and information needs within the fleet management software.
•
Complied with all relevant WFP standards and regulations related to fuel management.

Utilized fleet management software to gather and analyze complex fuel data sets, identifying key trends and patterns.
Leveraged advanced MS Excel skills to optimize data collection strategies and enhance data quality.
Collaborated with cross-functional teams to understand fuel needs and translated them into system requirements.
Prepared comprehensive reports using MS Excel and PowerBI, presenting analytical findings in a clear, concise manner.
Applied statistical tools in MS Excel for interpreting data sets, focusing on fuel trends and patterns valuable for diagnostic and predictive analytics efforts.
Ensured data quality and integrity by performing regular data audits and system checks within the fleet management software.
Developed policies and procedures for the collection and analysis of fuel data within the fleet management software.
Coordinated with the logistics team to forecast future fuel needs based on historical data from the fleet management software.
Worked closely with management to prioritize business and information needs within the fleet management software.
Complied with all relevant WFP standards and regulations related to fuel management.

Understood the business problem, frame it as a data problem, and developed a solution using statistical and machine learning methods.
Cleaned, processed, and prepared data for analysis.
Explored data to find patterns and relationships.
Built predictive models and algorithms.
Evaluated model performance and improved upon it.
Communicated findings using visualizations and other means as appropriate.

• Planned and performed all aspects of wells drilling engineering for SUDAPET exploration and development activities.
• Monitored daily drilling operations and followed up on drilling requirements for JOCs.
• Evaluated contractor service companies.
• Acted as the company’s technical representative and it’s accountable for the technical planning and monitoring of the drilling programs.
• Collected, extracted, cleaned, and analyzed data regularly to conduct a more polished operation evaluation.
• Utilized machine learning in different petroleum engineering and geosciences segments such as petroleum exploration, reservoir characterization, oil well drilling, production, and well stimulation.
• Leveraged supervised and unsupervised machine learning methods to predict or eliminate most fluid-related issues.
• Wrote efficient, superior Snowpark Python code to address issues and reply to queries.
• Wrote excellent Snowpark Python code that works well to address issues and answer questions.
• Effectively communicate with researchers to comprehend their needs and share their findings
• analyzed software and generated comprehensive documentation.
• Commenced establishing Data Science, Digitalization aspects, and the use of AI in the industry to aid in the execution of both manual and digital processes.
• I developed and implemented new data analysis techniques that improved the accuracy of production forecasts.
• I identified and recommended investment opportunities in the petroleum sector that resulted in significant financial gains.
• I created and maintained a database of production, consumption, and pricing of petroleum products that was used by stakeholders to make informed decisions.
• I conducted research and analysis on trends in the petroleum industry that led to the development of new business strategies.
• I analyzed the financial performance and prospects of projects to provide insights on their viability and profitability.
• Peer-reviewed codes and provided constructive criticism.
• Assisted in the promotion of Sudan’s blocks.
• Coordinated production increase initiatives and workshops.
• Utilized Python, SQL, PowerBI, Landmark, and Interactive petrophysics to conduct tasks.

• Planned and performed all aspects of wells drilling engineering for SUDAPET exploration and development activities.
• Monitored daily drilling operations and followed up on drilling requirements for JOCs.
• Evaluated contractor service companies.
• Acted as the company’s technical representative and it’s accountable for the technical planning and monitoring of the drilling programs.
• Collected, extracted, cleaned, and analyzed data regularly to conduct a more polished operation evaluation.
• Utilized machine learning in different petroleum engineering and geosciences segments such as petroleum exploration, reservoir characterization, oil well drilling, production, and well stimulation.
• Leveraged supervised and unsupervised machine learning methods to predict or eliminate most fluid-related issues.
• Wrote efficient, superior Snowpark Python code to address issues and reply to queries.
• Wrote excellent Snowpark Python code that works well to address issues and answer questions.
• Effectively communicate with researchers to comprehend their needs and share their findings
• analyzed software and generated comprehensive documentation.
• Commenced establishing Data Science, Digitalization aspects, and the use of AI in the industry to aid in the execution of both manual and digital processes.
• I developed and implemented new data analysis techniques that improved the accuracy of production forecasts.
• I identified and recommended investment opportunities in the petroleum sector that resulted in significant financial gains.
• I created and maintained a database of production, consumption, and pricing of petroleum products that was used by stakeholders to make informed decisions.
• I conducted research and analysis on trends in the petroleum industry that led to the development of new business strategies.
• I analyzed the financial performance and prospects of projects to provide insights on their viability and profitability.
• Peer-reviewed codes and provided constructive criticism.
• Assisted in the promotion of Sudan’s blocks.
• Coordinated production increase initiatives and workshops.
• Utilized Python, SQL, PowerBI, Landmark, and Interactive petrophysics to conduct tasks.

Planned and performed all aspects of wells drilling engineering for SUDAPET exploration and development activities.
Monitored daily drilling operations and followed up on drilling requirements for JOCs.
Evaluated contractor service companies.
Acted as the company’s technical representative and was accountable for the technical planning and monitoring of the drilling programs.
Collected, extracted, cleaned, and analyzed data regularly to conduct a more polished operation evaluation.
Utilized machine learning in different petroleum engineering and geosciences segments such as petroleum exploration, reservoir characterization, oil well drilling, production, and well stimulation.
Leveraged supervised and unsupervised machine learning methods to predict or eliminate most fluid-related issues.
Wrote efficient Snowpark Python code to address issues and reply to queries.
Wrote Snowpark Python code that works well to address issues and answer questions.
Effectively communicated with researchers to comprehend their needs and share their findings.
Analyzed software and generated comprehensive documentation.
Commenced establishing Data Science, Digitalization aspects, and the use of AI in the industry to aid in the execution of both manual and digital processes.
Developed and implemented new data analysis techniques that improved the accuracy of production forecasts.
Identified and recommended investment opportunities in the petroleum sector that resulted in significant financial gains.
Created and maintained a database of production, consumption, and pricing of petroleum products that was used by stakeholders to make informed decisions.
Conducted research and analysis on trends in the petroleum industry that led to the development of new business strategies.
Analyzed the financial performance and prospects of projects to provide insights on their viability and profitability.
Peer-reviewed codes and provided constructive criticism.
Assisted in the promotion of Sudan’s blocks.
Coordinated production increase initiatives and workshops.
Utilized Python, SQL, PowerBI, Landmark, and Interactive Petrophysics to conduct tasks.

• Collaborated with the rig manager and toolpusher to oversee the day-to-day operations of drilling and service rigs.
• Implemented operational strategies in alignment with Key Performance Indicators (KPIs) to optimize drilling and workover processes.
• Conducted comprehensive data analysis to identify trends, patterns, and performance metrics related to drilling and workover operations.
• Utilized data insights to enhance operational efficiency, reduce downtime, and improve overall rig performance.
• Assisted in the planning and executing of drilling and workover projects, ensuring adherence to timelines and budget constraints.
• Coordinated with cross-functional teams to streamline project workflows and mitigate potential challenges.
• Established monitoring systems for real-time tracking of rig performance, utilizing data-driven approaches to identify areas for improvement.
• Implemented corrective actions based on performance analytics to enhance overall drilling and workover outcomes.
• Generated regular reports detailing operational performance, project milestones, and key performance indicators for management review.
• Maintained comprehensive documentation of drilling and workover activities, contributing to the development of historical records and future planning.
• Identified potential risks and challenges in drilling and workover operations, implementing proactive measures to mitigate and minimize risks.
• Developed contingency plans to address unforeseen circumstances and ensure project continuity.
• Provided support in training and development initiatives for rig personnel, emphasizing data-driven decision-making and project management best practices.
• Facilitated knowledge transfer sessions to enhance the team's understanding of data analysis tools and techniques.
• Fostered effective communication channels between on-site personnel and management, ensuring a transparent flow of information.
• Collaborated with internal and external stakeholders to optimize project outcomes and address challenges on time.

Collaborated with the rig manager and toolpusher to oversee the day-to-day operations of drilling and service rigs.
Implemented operational strategies in alignment with Key Performance Indicators (KPIs) to optimize drilling and workover processes.
Conducted comprehensive data analysis to identify trends, patterns, and performance metrics related to drilling and workover operations.
Utilized data insights to enhance operational efficiency, reduce downtime, and improve overall rig performance.
Assisted in the planning and executing of drilling and workover projects, ensuring adherence to timelines and budget constraints.
Coordinated with cross-functional teams to streamline project workflows and mitigate potential challenges.
Established monitoring systems for real-time tracking of rig performance, utilizing data-driven approaches to identify areas for improvement.
Implemented corrective actions based on performance analytics to enhance overall drilling and workover outcomes.
Generated regular reports detailing operational performance, project milestones, and key performance indicators for management review.
Maintained comprehensive documentation of drilling and workover activities, contributing to the development of historical records and future planning.
Identified potential risks and challenges in drilling and workover operations, implementing proactive measures to mitigate and minimize risks.
Developed contingency plans to address unforeseen circumstances and ensure project continuity.
Provided support in training and development initiatives for rig personnel, emphasizing data-driven decision-making and project management best practices.
Facilitated knowledge transfer sessions to enhance the team's understanding of data analysis tools and techniques.
Fostered effective communication channels between on-site personnel and management, ensuring a transparent flow of information.
Collaborated with internal and external stakeholders to optimize project outcomes and address challenges on time.