Rachel Welch Resume 2024
Contact Information
-
Rachel Welch
Description
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
Industry
E&P
Location
Houston, Texas
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
Awards and Certifications
Microsoft Azure Fundamentals(AZ - 900)
Skills
Python, C++, R, Swift, TensorFlow, PyTorch, Dataiku, Fusion 360, CMG
Education
The University of Texas at Austin, Bachelor of Science in Petroleum Engineering, 2022