EDUCATION                                                                                                                                                           

The University of Texas at Austin

Bachelor of Science in Petroleum Engineering

December 2022

 

WORK EXPERIENCE                                                                                                                                           

Schlumberger Data Scientist                                                                                               January 2023 – Present  

• Analyze time series data for anomalies using various classification algorithms such as Gaussian mixture models and K-means with Python
• Predict future failures using classification on previous data with random forest and other methods
• Improve existing physics-based models with neural networks and surrogate models in C++
• Synthesize and interpret schematic diagrams for heat exchangers, compressors, and other machinery components
• Create visual dashboards to display analysis to stakeholders

 

Schlumberger Intern                                                                                                                          Summer 2022  

• Designed and built data visualization tools with Power BI for tracking global deployment of software
• Created an app allowing users to interact with data models
• Worked directly with PhDs developing new proprietary technologies
• Completed all tasks assigned with minimal supervision

 

Texas Inventionworks – Vice President, Hiring Manager, Student Technician                                      2019 – 2022              

• Led daily officer-employee management of 45 subordinates
• Managed and conducted over 40 prospective employee interviews and resume reviews
• Increased percentage of female employees from 15% to 46% 
• Taught classes for 3D-FDM printers, 3D-SLA printers, 3D-SLS printers, laser cutters, wood shop, mills, and lathes

 

RESEARCH AND ACTIVITIES                                                                                                                             

Research Assistant – Dr. Hugh Daigle                                                                                    Spring and Fall 2022

• Parallelized existing code to run on multiprocessor systems
• Analyzed data from gas hydrates on seafloor using K-nearest neighbors and generative adversarial networks

 

Machine Learning and Data Science Club – President, Technical Officer                                             2020 – 2022                                        

• Lead a hackathon for 120+ participants
• Developed weekly technical meetings exceeding 40 people
• Orchestrated connections with corporate sponsors including Chevron, Lockheed Martin, Apple, and more
• Founder of an advanced reading group leading students in weekly discussion concerning research papers
• Wrote code to create oil production predictions with geospatial data in AI Hackathon

 

Research Assistant – RAPID Consortium, Dr. Eric van Oort                                               Summer and Fall 2020

• Rig Automation Performance Improvement in Drilling Consortium
• Integrated a custom YOLOv3 model into an iPhone application which evaluated drill bit damage over time
• Worked 20 hours per week coding in Swift

 

SKILLS                                                                                                                                                                    

Python, C++, R, Swift, TensorFlow, PyTorch, Dataiku, Fusion 360, CMG

 

CLASSES                                                                                                                                                                 

Statistics:        PGE 337 Intro to Geostatistics – B+

Programming: PGE 379 High Performance Computational Engineering – A-,

                        PGE 379 Subsurface Machine Learning – A

Houston, Texas

Schlumberger Data Scientist January 2023 – Present • Analyze time series data for anomalies using various classification algorithms such as Gaussian mixture models and K-means with Python • Predict future failures using classification on previous data with random forest and other methods • Improve existing physics-based models with neural networks and surrogate models in C++ • Synthesize and interpret schematic diagrams for heat exchangers, compressors, and other machinery components • Create visual dashboards to display analysis to stakeholders Schlumberger Intern Summer 2022 • Designed and built data visualization tools with Power BI for tracking global deployment of software • Created an app allowing users to interact with data models • Worked directly with PhDs developing new proprietary technologies • Completed all tasks assigned with minimal supervision Texas Inventionworks – Vice President, Hiring Manager, Student Technician 2019 – 2022 • Led daily officer-employee management of 45 subordinates • Managed and conducted over 40 prospective employee interviews and resume reviews • Increased percentage of female employees from 15% to 46% • Taught classes for 3D-FDM printers, 3D-SLA printers, 3D-SLS printers, laser cutters, wood shop, mills, and lathes

Python, C++, R, Swift, TensorFlow, PyTorch, Dataiku, Fusion 360, CMG

The University of Texas at Austin, Bachelor of Science in Petroleum Engineering, 2022