Vu Nguyen

About Vu Nguyen

I am a petroleum engineer with diverse and extensive experiences in chemical EOR, field development plan, and field operations which includes hydraulic fracture and fiber optic technologies. As an engineer, I have learned how to incorporate critical thinking to bring innovative solutions to my work. My passion is to incorporate my expertise domain with coding skills to solve problems and to create advanced data visualization, so the hidden information can be analyzed and presented promptly. As a data scientist, I am well-versed in the following areas: Python, SQL, data wrangling, data visualization, data storytelling, inferential statistic, machine learning, deep learning, Time-series analysis, anomaly detection. Proven ability to build Machine Learning Algorithms and Deep Learning with Scikit-learn, Keras, and Tensorflow. Key Accomplishments:• Defined and developed an automated data pipeline to enhance the data moving efficiency by 6 folds which enabled my company to take on more complicated projects without compromising the quality of deliverables• Developed interactive 3D viewer with Plotly/Dash dashboard for data visualization enhancement• Wrangled data from multiple sources, developed various engineer features and utilized my engineer domain knowledge to develop a machine-learning algorithm to detect inter-well communication during hydraulic fracture treatment with the acoustic/slow strain data acquired from fiber optic sensors. Technical Skills: • Programming: Python, SQL, MatLab, Java, and VBA• Simulation: CMG, Petrel, Resfrac • Data Visualization: Matplotlib, Pandas, Seaborn, Plotly, Dash• Machine Learning: Regression, Clustering, Decision Trees, Random Forest, XGBoost, Neural Network, Deep Learning, LSTM, Scikit-learn, Keras, and Tensorflow• Probability and Statistics: Inferential statistic, Hypothesis Testing, A/B Testing

Experience

1. Reservoir Engineer Sr

   Apache Corporation

   Aug 2024 — Present · Houston, TX, US

Education

• The University of Texas at Austin

  Master of Science (M.S.), Petroleum Engineering

  2014 — 2016

• The University of Texas at Austin

  Bachelor of Science (B.S.), Petroleum Engineering

  2009 — 2013

• Springboard

  Data Science Career Track

  2019 — 2020