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.

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

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

• 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.

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

• 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.

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