I am a Data Analyst and Business Intelligence professional with more than seven years of experience in upstream oil and gas analytics. I specialize in translating production, reservoir, operational, and well-performance data into actionable insights for technical and operational teams.
I work extensively with Power BI, SQL, and Python to build data models, automate reporting, validate data repositories, and create interactive dashboards. My analytical approach combines data cleaning, verification, statistical analysis, and domain knowledge in reservoir and production engineering.
In my recent roles at Pertamina, I have supported field optimization through integrated reservoir-production surveillance, steamflood performance analysis, production exception monitoring, and well data management. I helped prioritize 293 high-potential steamflood opportunities across more than 700 patterns.
I have delivered measurable process improvements, including reducing an operator reporting cycle from 30 minutes to 5 minutes through checklist digitization. I also contributed to the verification and completion of a 47-well field data repository while maintaining critical operational data uploads and availability.
I enjoy building self-service analytics solutions and sharing knowledge with cross-functional teams. I have delivered Power BI training for engineers and operations personnel and have developed personal machine-learning and production-analytics projects using Python, Power BI, DAX, and Power Query.
I am based in Surabaya, Indonesia, and am actively seeking full-time remote Data Analyst or Business Intelligence opportunities where I can apply my technical analytics skills and upstream energy domain expertise.