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peopou/README.md

πŸ‘‹ Hello and welcome!

I’m Ahmad Kurniawan, a Petroleum Engineering graduate with a strong interest in data analytics and data engineering.
I have hands-on experience in reservoir engineering, production analysis, and reservoir simulation, and I enjoy transforming technical and operational data into meaningful insights to support decision-making.


πŸš€ About Me

  • πŸ›’ Petroleum Engineering: Reservoir engineering, production analysis, and reservoir simulation for performance evaluation and scenario optimization.
  • πŸ“Š Data & Analytics: Focused on data engineering workflows such as data warehousing, ETL development, SQL-based data transformation, exploratory data analysis (EDA), and preparing reliable datasets for analytics and engineering applications.
  • πŸ” Interest Areas: Data analytics, data engineering, and the intersection between engineering data and business insights.
  • 🎯 Goal: To bridge domain knowledge in oil & gas with data-driven analysis for smarter, more efficient decisions.

πŸ›  Skills

Petroleum

  • Reservoir Engineering
  • Production Analysis
  • Reservoir Simulation (tNavigator)

Data & Analytics

  • SQL (PostgreSQL)
  • Data Architectur (Data Warehousing)
  • Data Modeling (Star Schema)
  • Python (Data Analysis & Automation)
  • Data Cleaning & Validation
  • Exploratory Data Analysis (EDA)
  • Visualization (Tableau)
  • Machine Learning
  • Compputer Vision

Tools

  • Python (Pandas, NumPy, Matplotlib, SKlearn, TensorFlow, Keras)
  • PostgreSQL
  • Jupyter Notebook
  • Git & GitHub

πŸ“š Experience Highlights

  • Performed reservoir performance evaluation and production forecasting using simulation models.
  • Conducted data validation and cleaning, including date consistency checks and anomaly detection.
  • Worked with structured datasets for engineering and operational analysis.
  • Experienced in documenting analysis results in a clear and professional manner.

πŸ“« Connect with Me


⭐ Feel free to explore my repositories.
I’m always open to discussions, collaborations, and learning opportunities in petroleum engineering and data analytics.

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