Ing. Andres Felipe Ortega Sandoval

Data scientist | Certified Kubernetes Administrator | Machine learning | MlOps | Kubernetes | Pipelines | Docker | Argo | CI/CD | Gitlab | DevOps

Research and development in the field of Wind Energy, specifically in predictive maintenance. In course of my master thesis on topic "Evaluation of the failure process of Wind Turbines using a Neural Network for sensor signal evaluation".

Internship in Fraunhofer IEE institute. Assitent in the development of script tools in Python for the analysis of data in WindPool project

Essential oil instructor Integrate industrial projects in the rural area with farmers to improve productivity and generate new business ideas. Create productive crops for essential oils.

Chemistry teacher Chemistry laboratory teacher Co-research in brewering beer with Amazon Fruits.

Supervise an maintain the properties of drilling fluid into the well. Provide engineering support and customer operations. Review fluids program in order to prepare order and mixing plans. Gather samples and performs tests to determine trends and identify contaminants. Interpret property-test data to establish required treatment or action. Determine cause of fluid hole, or system problems to assist in treatment recommendation.

Chemical analysts use techniques to separate mixtures and study the reaction between materials and energy. Their goal is to determine the composition, reactions, and chemical or physical properties of organic and inorganic compounds.

Support in implementing processes of ISO 9001 accreditation in the Santa Rosa plant.

The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.

Solar Energy Wind Energy Cogeneration systems Feasibility Studies Economical and technical analysis