Global Oil & Gas Market Analysis Report
Budget: $750 – $1,500 USD
I am developing report on “AI-Powered Financial Viability Assessment of Oil & Gas Companies Transitioning to Renewables.” I require expert assistance with data collection, literature review, and report writing using the Harvard referencing style. The project will be completed in two phases:
Strategic Analysis Report (SAR) – 5,000 words (Deadline: 10 Days)
Final Research Thesis & AI Model Development – 10,000 words (Deadline: 2 Months)
Scope of Work:
Phase 1: Strategic Analysis Report (SAR)
Data Collection: Gather relevant data from publicly available financial reports, ESG disclosures, academic journals (Google Scholar, ScienceDirect, etc.), and industry publications.
Literature Review: Conduct a comprehensive review of existing literature on financial viability in the oil & gas sector, and examine AI’s role in financial forecasting.
Methodology Proposal: Define the research methodology, including financial modeling techniques and potential AI approaches to forecasting.
Draft & Format Report: Compile the SAR, ensuring it’s structured according to Harvard referencing style and EMBA guidelines.
Phase 2: Final Research Thesis & AI Model Development
Extended Data Analysis: Expand upon the data collected in Phase 1, ensuring consistency across case studies (e.g., BP, Shell, TotalEnergies, Aramco, etc.).
AI Model Development: Implement a basic, interpretable AI financial forecasting model to assess the viability of oil & gas companies transitioning to renewables. (The model should be simple and align with an engineering/finance perspective.)
Comparative Analysis: Use the model and data to evaluate multiple companies, highlighting strategic insights and differences in their transition strategies.
Final Report Writing: Write the final ~10,000-word thesis, ensuring clarity, academic rigor, and proper Harvard-style referencing throughout. This report will include the analyses performed, results obtained, and their implications.
Ideal Skills and Experience:
Proven experience in academic research and writing, with expertise in Harvard referencing.
Strong skills in financial data collection and analysis, particularly in the energy sector.
Familiarity with AI applications in financial forecasting (experience with machine learning models is a plus, though not mandatory).
Ability to develop and explain basic predictive AI models. (Proficiency in Python, R, or MATLAB is beneficial.)
Milestones & Deliverables:
Milestone 1 – Strategic Analysis Report (5,000 words): Completion of the SAR with methodology and literature review. Due in 10 Days.
Milestone 2 – Final Thesis & AI Model (10,000 words + Model): Completion of the full research thesis and delivery of the AI forecasting model (including code and documentation). Due in 2 Months.
Data Sources:
Public financial reports and ESG disclosures of target companies.
Academic journals and articles (via Google Scholar, ScienceDirect, IEEE Xplore, etc.).
Industry reports from organizations like IEA, OPEC, APICORP, as well as relevant government publications.
Additional Notes:
The AI model should be kept simple, transparent, and interpretable, suitable for an audience with an engineering/finance background.
Data and insights must be realistic and credible – ideally suitable for publication in an academic or industry journal.
Collaboration and open communication are expected throughout the project to ensure the research stays on track with academic requirements.
Budget:
Budget is open to discussion and will depend on the freelancer’s experience and expertise. We are willing to invest in quality work, given the importance of this project. How to Apply:
Please submit your proposal, including examples of previous work in academic research (especially in finance or energy) and any relevant AI/machine learning projects. In your proposal, briefly explain how you would approach this project and confirm your ability to meet the deadlines.
Strategic Analysis Report (SAR) – 5,000 words (Deadline: 10 Days)
Final Research Thesis & AI Model Development – 10,000 words (Deadline: 2 Months)
Scope of Work:
Phase 1: Strategic Analysis Report (SAR)
Data Collection: Gather relevant data from publicly available financial reports, ESG disclosures, academic journals (Google Scholar, ScienceDirect, etc.), and industry publications.
Literature Review: Conduct a comprehensive review of existing literature on financial viability in the oil & gas sector, and examine AI’s role in financial forecasting.
Methodology Proposal: Define the research methodology, including financial modeling techniques and potential AI approaches to forecasting.
Draft & Format Report: Compile the SAR, ensuring it’s structured according to Harvard referencing style and EMBA guidelines.
Phase 2: Final Research Thesis & AI Model Development
Extended Data Analysis: Expand upon the data collected in Phase 1, ensuring consistency across case studies (e.g., BP, Shell, TotalEnergies, Aramco, etc.).
AI Model Development: Implement a basic, interpretable AI financial forecasting model to assess the viability of oil & gas companies transitioning to renewables. (The model should be simple and align with an engineering/finance perspective.)
Comparative Analysis: Use the model and data to evaluate multiple companies, highlighting strategic insights and differences in their transition strategies.
Final Report Writing: Write the final ~10,000-word thesis, ensuring clarity, academic rigor, and proper Harvard-style referencing throughout. This report will include the analyses performed, results obtained, and their implications.
Ideal Skills and Experience:
Proven experience in academic research and writing, with expertise in Harvard referencing.
Strong skills in financial data collection and analysis, particularly in the energy sector.
Familiarity with AI applications in financial forecasting (experience with machine learning models is a plus, though not mandatory).
Ability to develop and explain basic predictive AI models. (Proficiency in Python, R, or MATLAB is beneficial.)
Milestones & Deliverables:
Milestone 1 – Strategic Analysis Report (5,000 words): Completion of the SAR with methodology and literature review. Due in 10 Days.
Milestone 2 – Final Thesis & AI Model (10,000 words + Model): Completion of the full research thesis and delivery of the AI forecasting model (including code and documentation). Due in 2 Months.
Data Sources:
Public financial reports and ESG disclosures of target companies.
Academic journals and articles (via Google Scholar, ScienceDirect, IEEE Xplore, etc.).
Industry reports from organizations like IEA, OPEC, APICORP, as well as relevant government publications.
Additional Notes:
The AI model should be kept simple, transparent, and interpretable, suitable for an audience with an engineering/finance background.
Data and insights must be realistic and credible – ideally suitable for publication in an academic or industry journal.
Collaboration and open communication are expected throughout the project to ensure the research stays on track with academic requirements.
Budget:
Budget is open to discussion and will depend on the freelancer’s experience and expertise. We are willing to invest in quality work, given the importance of this project. How to Apply:
Please submit your proposal, including examples of previous work in academic research (especially in finance or energy) and any relevant AI/machine learning projects. In your proposal, briefly explain how you would approach this project and confirm your ability to meet the deadlines.