Ali Cm3

Energy Data Analyst and Upstream Oil & Gas Specialist with 6+ years of experience applying quantitative modeling, large-scale data analysis, and operational performance benchmarking across the energy value chain. McKinsey Forward Program graduate with proven ability to structure complex problems, synthesize technical and market insights, and communicate recommendations to diverse stakeholders. Advanced proficiency in Excel, Tableau, SQL, Python, and Generative AI workflows with a strong track record of delivering data-driven recommendations in fast-paced, results-oriented environments.

Senior Oil and Gas Analyst at SKOPIA ENERGY (2023-08 – Present)

• Developed quantitative models and analytical frameworks to evaluate upstream assets, production trends, and operational performance across the Permian Basin, contributing to over $4.5M in strategic energy transactions.
• Applied domain knowledge of mineral rights, lease working interests, workover requirements, well condition regulations, and county clerk record searches to evaluate asset viability.
• Managed deal packaging and regulatory filings including P-5, P-4, W-1, and PR reports across Texas Railroad Commission systems.
• Leveraged state-of-the-art AI tools including OpenAI, Claude, and Google Gemini to accelerate technical research, draft legal/regulatory documentation, and synthesize market data.
• Analyzed large-scale production, injection, and regulatory datasets across 2,200+ operator accounts using Texas Railroad Commission databases, identifying asset optimization opportunities and acquisition targets.
• Synthesized complex technical, operational, and market analyses into executive-level reports, presentations, and decision-support materials.

Account Manager at VMWARE CARBON BLACK (2021-07 – 2023-04)

• Managed strategic enterprise accounts and partnered with stakeholders across technical and executive functions.
• Leveraged analytical and consultative problem-solving approaches to drive 20% annual revenue growth.
• Collaborated with engineering and product teams to improve customer retention by 25%.
• Presented complex technical concepts and business recommendations to diverse audiences.

Data Analyst at SCHLUMBERGER (SLB) (2020-12 – 2021-07)

• Developed Python-based analytical workflows and automated data pipelines, increasing reporting efficiency by 20%.
• Built quantitative models evaluating logistics performance and operational efficiency.
• Identified opportunities that reduced crew transit costs by 25%.
• Produced executive dashboards and visualizations translating complex datasets into actionable insights.

Bachelor of Science in Management Information Systems – University of Houston, C.T. Bauer College of Business (2020-12)