Machine learning-driven project for optimizing rod pump operations and rationalizing alarm systems
J U N E 2 0 2 4 — D E C E M B E R 2 0 2 4
Description: Developing two machine learning applications to optimize sucker rod pump operations and automate alarm handling for a customer in the energy sector.
Project type: Fixed Price, Business Solution, IT Solution, ML, AWS
Position: Project Manager
Team: 3 FTE (Data Scientist, Machine Learning Specialists)
Budget: 200 000 USD
Area: IT, Energy-Gas-Oil-Industry
Location: North America, Texas, California
Technologies/Tools:
AWS SageMaker, Amazon Lambda, Amazon S3; AWS CodeCommit
